Education, Training

Postdoctoral fellow: Rotman Research Institute, Baycrest Health Sciences. Aug. 2016-Apr. 2021.

Advisor: Stephen Strother, Ph.D.

Ph. D.:  Cognition and Neuroscience, The University of Texas at Dallas. February 2017.

Advisor: Hervé Abdi, Ph.D.

M.S.: Applied Cognition and Neuroscience, The University of Texas at Dallas. May 2011.

Advisor: Hervé Abdi, Ph.D.

M.S.: Computer and Information Sciences, University of Massachusetts Dartmouth. May 2008.

Advisor: Iren Valova, Ph.D.

B.S.: Computer and Information Sciences, University of Massachusetts Dartmouth. December 2005.

Advisor: Iren Valova, Ph.D.

Expertise

In no particular order: Statistical analyses, data science, factor analyses, genetics/genomics, neurological and psychiatric disorders, neuroimaging, informatics, machine learning, clinical prediction models, deploying and operationalizing models, evaluation and assessment.

Publications

Articles (A) & Preprints (P)

(A) Li, B., Beaton, D., Lee, D. S., Aljabri, B., Al-Omran, L., Wijeysundera, D. N., ... & Al-Omran, M. (2024, July). Comprehensive review of virtual assistants in vascular surgery. In Seminars in Vascular Surgery. WB Saunders.

(A) Li, B., Aljabri, B., Verma, R., Beaton, D., Hussain, M. A., Lee, D. S., ... & Al‐Omran, M. (2024). Predicting Outcomes Following Lower Extremity Endovascular Revascularization Using Machine Learning. Journal of the American Heart Association, 13(9), e033194.

(A) Li, B., Eisenberg, N., Beaton, D., Lee, D. S., Al-Omran, L., Wijeysundera, D. N., ... & Al-Omran, M. (2024). Predicting inferior vena cava filter complications using machine learning. Journal of Vascular Surgery: Venous and Lymphatic Disorders, 101943.

(P) Baracchini, G., Yu, J. C., Rieck, J., Beaton, D., Guillemot, V., Grady, C., ... & Spreng, R. N. (2024). covSTATIS: a multi-table technique for network neuroscience. Aperture Neuro. 2024;4 Preprint available here: arXiv preprint arXiv:2403.14481.

(A) Li, B., Eisenberg, N., Beaton, D., Lee, D. S., Aljabri, B., Verma, R., ... & Al-Omran, M. (2024). Using Machine Learning (XGBoost) to Predict Outcomes After Infrainguinal Bypass for Peripheral Artery Disease. Annals of Surgery, 279(4), 705-713.

(A) Sakurai, R., Pieruccini‐Faria, F., Cornish, B., Fraser, J., Binns, M. A., Beaton, D., ... & Montero‐Odasso, M. (2024). Link among apolipoprotein E E4, gait, and cognition in neurodegenerative diseases: ONDRI study. Alzheimer's & Dementia.

(A) Li, B., Eisenberg, N., Beaton, D., Lee, D. S., Wijeysundera, D. N., de Mestral, C., ... & Roche-Nagle, G. (2024). Developing machine learning algorithms to predict outcomes following vascular surgery using the Vascular Quality Initiative database. JVS-Vascular Insights, 100066.

(A) Li, B., Warren, B. E., Eisenberg, N., Beaton, D., Lee, D. S., Aljabri, B., ... & Al-Omran, M. (2024). Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD. JAMA Network Open, 7(3), e242350-e242350.

(A) Li, B., Eisenberg, N., Beaton, D., Lee, D. S., Aljabri, B., Wijeysundera, D. N., ... & Al-Omran, M. (2024). Using machine learning to predict outcomes following suprainguinal bypass. Journal of vascular surgery, 79(3), 593-608.

(A) Li, B., Verma, R., Beaton, D., Tamim, H., Hussain, M. A., Hoballah, J. J., ... & Al-Omran, M. (2024). Predicting outcomes following endovascular abdominal aortic aneurysm repair using machine learning. Annals of Surgery, 279(3), 521-527.

(A) Li, B., Verma, R., Beaton, D., Tamim, H., Hussain, M. A., Hoballah, J. J., ... & Al-Omran, M. (2024). Predicting outcomes following lower extremity open revascularization using machine learning. Scientific Reports, 14(1), 2899.

(A) Smith, C. W., Malhotra, A. K., Hammill, C., Beaton, D., Harrington, E. M., He, Y., ... & Witiw, C. D. (2024). Vision Transformer–based Decision Support for Neurosurgical Intervention in Acute Traumatic Brain Injury: Automated Surgical Intervention Support Tool. Radiology: Artificial Intelligence, 6(2), e230088.

(A) Li, B., Aljabri, B., Verma, R., Beaton, D., Eisenberg, N., Lee, D. S., ... & Al-Omran, M. (2023). Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair. British Journal of Surgery, 110(12), 1840-1849.

(A)  Yu, D., Liang, N., Xiong, L. Y., Shen, Q., Lin, W. Z., Ozzoude, M., …, Beaton, D., …, & ONDRI Investigators. (2023). Serum Arachidonic Acid Oxylipins Indicate Small Vessel Injury And the Related Executive Function Decline In Stroke Patients. Alzheimer's & Dementia, 19, e080387.

(A) Li, B., Verma, R., Beaton, D., Tamim, H., Hussain, M. A., Hoballah, J. J., ... & Al-Omran, M. (2023). Predicting outcomes following open revascularization for aortoiliac occlusive disease using machine learning. Journal of Vascular Surgery, 78(6), 1449-1460.

(A) Li, B., Verma, R., Beaton, D., Tamim, H., Hussain, M. A., Hoballah, J. J., ... & Al‐Omran, M. (2023). Predicting major adverse cardiovascular events following carotid endarterectomy using machine learning. Journal of the American Heart Association, 12(20), e030508.

(A) Li, B., Beaton, D., Eisenberg, N., Lee, D. S., Wijeysundera, D. N., Lindsay, T. F., ... & Al-Omran, M. (2023). Using machine learning to predict outcomes following carotid endarterectomy. Journal of Vascular Surgery, 78(4), 973-987.

(A)  Zebarth, J., Kamal, R., Perlman, G., Ouk, M., Xiong, L. Y., Yu, D., … Beaton, D., … & Swardfager, W. (2023). Perivascular spaces mediate a relationship between diabetes and other cerebral small vessel disease markers in cerebrovascular and neurodegenerative diseases. Journal of Stroke and Cerebrovascular Diseases, 32(9), 107273.

(A) Pieruccini-Faria, F., Cornish, B., Binns, M., Fraser, J., Haddad, S. M., Sunderland, K., … Beaton, D., … & Montero-Odasso, M. (2023). Association of Dual-Task Gait Cost and White Matter Hyperintensity Burden Poststroke: Results From the ONDRI. Neurorehabilitation and Neural Repair, 37(7), 434-443.

(A) Brien, D. C., Riek, H. C., Yep, R., Huang, J., Coe, B., Areshenkoff, C., Grimes, D., Jog, M., Lang, A., Marras, C., Masellis, M., McLaughlin, P., Peltsch, A., Roberts, A., Tan, B., Beaton, D., Lou, W., Swartz, R., ONDRI Investigators (in press). Classification and staging of Parkinson’s disease using video-based eye tracking. Parkinsonism & Related Disorders. https://www.sciencedirect.com/science/article/abs/pii/S1353802023000391 

(A) Ozzoude, M., Varriano, B., Beaton, D., Ramirez, J., Adamo, S., Holmes, M. F., ... & ONDRI Investigators. (2023). White Matter Hyperintensities and Cortical Atrophy are associated with Neuropsychiatric Symptoms in Neurodegenerative and Cerebrovascular Diseases. Alzheimer’s Research & Therapy. Preprint available on Research Square.

(A) Carvalho de Abreu, D. C., Pieruccini‐Faria, F., Sarquis‐Adamson, Y., Black, A., Fraser, J., Van Ooteghem, K., ... Beaton D., ... & Montero‐Odasso, M. (2023). White matter hyperintensity burden predicts cognitive but not motor decline in Parkinson's disease. Results from the ONDRI. European Journal of Neurology. https://onlinelibrary.wiley.com/doi/10.1111/ene.15692 

(A) Riek HC, Brien DC, Coe BC, Huang J, Perkins JE, ..., Beaton D, ..., ONDRI Investigators, & Munoz DP. (2023). Cognitive correlates of antisaccade behaviour across multiple neurodegenerative diseases. Brain Communications. 

(A) Yu, D., Liang, N., Zebarth, J., Shen, Q., Ozzoude, M., Goubran, M., … Beaton, D., ... & Swardfager, W. (2023). Soluble Epoxide Hydrolase Derived Linoleic Acid Oxylipins, Small Vessel Disease Markers, and Neurodegeneration in Stroke. Journal of the American Heart Association, e026901.

(A) Krishnan, A., Yu, J. C., Miles, R., Beaton, D., Rabin, L., & Abdi, H. (2022). Multiblock discriminant correspondence analysis: Exploring group differences with structured categorical data. Methods in Psychology, 100100.

(A) Wong, B., Hudson, C., Snook, E., Tayyari, F., Jung, H., Binns, M. A., Samet, S., Cheng, R. W., Mandelcorn, E. D., Margolin, E., Finger, E., Black, S. E., Tang-Wai, D., Zinman, L., Tan, B., Lou, W., Masells, M., Abrahao, A., Frank, A., Beaton, D., Sunderland, K. M., Arnott, S. R., ONDRI, Tartaglia, M. C., Hatch, W. V. (accepted). Retinal Nerve Fibre Layer in Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosis. Frontiers in Neuroscience: Neurodegeneration.

(A) Marlatte, M., Beaton, D., Adler-Luzon, S., Abo Ahmad, L., Gilboa, A. (2022). Scene Construction and Spatial Processing in Post-Traumatic Stress Disorder. Frontiers in Behavioral Neuroscience: Learning and Memory. https://www.frontiersin.org/articles/10.3389/fnbeh.2022.888358/full 

(A) Beaton, D., McLaughlin, P. M., Orange, J. B., Munoz, D. P., Mandzia, J., Abrahao, A., … Roberts, A. (2022). Relationship between caregiving concerns and clinical characteristics across multiple disorders in the Ontario Neurodegenerative Disease Research Initiative (ONDRI). International Journal of Geriatric Psychiatry. Preprint available: https://doi.org/10.31234/osf.io/rxqev

(A) Vaccarino, A. L., Beaton, D., Black, S. E., Blier, P., Farzan, F., Finger, E., ... & Evans, K. R. (2022). Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders. Frontiers in Psychiatry, 65. https://www.frontiersin.org/articles/10.3389/fpsyt.2022.816465/full 

(A) Sunderland, K. M., Beaton, D., Arnott, S. R., Kleinstiver, P., Kwan, D., [...], Zinman, L., McLaughlin, P. M., Masellis, M., Binns, M. A., & ONDRI Investigators (in press).  Characteristics of the Ontario Neurodegenerative Disease Research Initiative cohort.  Alzheimer’s & Dementia. Preprint on MedRxiv, 2020.07.30.20165456. https://doi.org/10.1101/2020.07.30.20165456

(A) Liang, S., Beaton, D., Arnott, S. R., Gee, T., Zamyadi, M., Bartha, R., ... & ONDRI Investigators. (2021). Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach. Frontiers in Neuroinformatics, 15.

(A) Godkin, F. E., Turner, E., Demnati, Y., Vert, A., Roberts, A., Swartz, R. H., McLaughlin, P. M., Weber, K. S., Thai, V., Beyer, K. B., Cornish, B., Abrahao, A., Black, S. E., Masellis, M., Zinman, L., Beaton, D., Binns, M. A., Chau, V., Kwan, D., … Van Ooteghem, K. (2021). Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease. Journal of Neurology. https://doi.org/10.1007/s00415-021-10831-z 

(P) Ozzoude, M., Varriano, B., Beaton, D., Ramirez, J., Holmes, M. F., Scott, C. J., ... & ONDRI Investigators. (in press). Investigating the Contribution of White Matter Hyperintensities and Cortical Thickness to Empathy in Neurodegenerative and Cerebrovascular Diseases. GeroScience. https://www.biorxiv.org/content/10.1101/2021.08.01.454640v1 

(P) Chen, Y., Sunderland, K. M., Khoo, Y., McLaughlin, P. M., Kwan, D., Fraser, J., […], Beaton, D., [...],  ... & ONDRI Investigators. (2021). Behavioral Markers for Deficits in Speed of Processing in Cerebrovascular Disease. medRxiv.

(A) Fishman, K. N., Roberts, A. C., Orange, J. B., Sunderland, K. M., Marras, C., Tan, B., Steeves, T., Kwan, D., Lang, A. E., Grimes, D., Levine, B., Masellis, M., Binns, M. A., Jog, M., Strother, S. C., ONDRI Investigators, McLaughlin, P. M., & Troyer, A. K. (2021). Bilingualism in Parkinson’s disease: Relationship to cognition and quality of life. Journal of Clinical and Experimental Neuropsychology, 0(0), 1–14. https://doi.org/10.1080/13803395.2021.1902946

* I am one of the ONDRI Investigators

(A)  Ramirez, J., Holmes, M. F., Berezuk, C., Kwan, D., Tan, B., Beaton, D., Scott, C. J. M., Ozzoude, M., Gao, F., Yu, D., Swardfager, W., Lawrence-Dewar, J., Dowlatshahi, D., Saposnik, G., Boulos, M. I., Murray, B. J., Symons, S., Bartha, R., Black, S. E., … Lim, A. (2021). MRI-visible perivascular space volumes, sleep duration and daytime dysfunction in adults with cerebrovascular disease. Sleep Medicine. https://doi.org/10.1016/j.sleep.2021.03.043

(A) Filbey, F. M., Beaton, D., Prashad, S. (2021). The Contributions of the Endocannabinoid System and Stress on the Neural Processing of Reward Stimuli. Progress in Neuropsychopharmacology & Biological Psychiatry.

(P) Beaton, D. (2020). Generalized eigen, singular value, and partial least squares decompositions: The GSVD package. ArXiv:2010.14734 [Cs, Stat]. http://arxiv.org/abs/2010.14734

        See also https://github.com/derekbeaton/GSVD 

(A) Ozzoude, M., Ramirez, J., Raamana, P. R., Holmes, M. F., Walker, K., Scott, C. J. M., Gao, F., Goubran, M., Kwan, D., Tartaglia, M. C., Beaton, D., Saposnik, G., Hassan, A., Lawrence-Dewar, J., Dowlatshahi, D., Strother, S. C., Symons, S., Bartha, R., Swartz, R. H., & Black, S. E. (2020). Cortical Thickness Estimation in Individuals With Cerebral Small Vessel Disease, Focal Atrophy, and Chronic Stroke Lesions. Frontiers in Neuroscience, 14. https://doi.org/10.3389/fnins.2020.598868

(A) Ramirez, J., Holmes, M. F., Scott, C. J. M., Ozzoude, M., Adamo, S., Szilagyi, G. M., Goubran, M., Gao, F., Arnott, S. R., Lawrence-Dewar, J. M., Beaton D., Strother, S. C., Munoz, D. P., Masellis, M., Swartz, R. H., & The ONDRI Investigators (accepted). Ontario Neurodegenerative Disease Research Initiative (ONDRI): Structural MRI methods & outcome measures. Frontiers in Neurology. Preprint on bioRxiv. https://doi.org/10.1101/2019.12.13.875823

(A) Zaidi, K.B., Rich, J. B., Sunderland, K. M., Binns, M. A., Truong, L., McLaughlin, P. M., Pugh, B., Kwan, D., Beaton, D., Levine, B., Sahlas, D. J., Dowlatshahi, D., Hassan, A., Mandzia, J., Troyer, A. K., & Swartz, R. H. (accepted). Methods for Improving Screening for Vascular Cognitive Impairment Using the Montreal Cognitive Assessment. Canadian Journal of Neurological Sciences, 1–25. https://doi.org/10.1017/cjn.2020.121

(A) Ramirez J., Dilliott A.A., Binns M., Breen D., Evans E., Beaton D., McLaughlin P.M., Kwan D., Holmes M.F., Ozzoude M., Scott C.J.M., Strother S.C., Symons S., Swartz R.H., Grimes D., Jog M., Masellis M., Black S.E., Joutel A., Marras C., Rogaeva E., Hegele R.A., Lang A.E., & ONDRI Investigators (accepted). Parkinson’s disease, NOTCH3 genetic variants, and white matter hyperintensities. Movement Disorders.

(A) Ercole, A., Brinck, V., Huijben, J., George, P., Hicks, R., Jarrett, M., ... Wilson, L., & the DAQCORD collaborators*. (2020). Guidelines for Data Acquisition, Quality & Curation for Observational Research Designs (DAQCORD). Journal of Clinical and Translational Science, 1-22.

* I am one of the DAQCORD collaborators

(A) Botvinik-Nezer, R., Holzmeister, F., Camerer, C. F., Dreber, A., Huber, J., Johannesson, M., Kirchler., M.,  Iwanir, R., Mumford, J. A., [8 alphabetical authors]., Beaton D., [176 alphabetical authors]., Nichols, T. E., Poldrack, R. A., Schonberg, T. (2020). Variability in the analysis of a single neuroimaging dataset by many teams. Nature.

Materials for our team (Rieck, J., Beaton, D., Grady, C.) here: https://github.com/jennyrieck/NARPS

Preprint available on bioRxiv: https://www.biorxiv.org/content/10.1101/843193v1

(A) McLaughlin P. M., Sunderland K. M., Beaton D., Binns M. A., Kwan D., Levine B., Orange JB., Peltsch A. J., Roberts A. C., Strother S. C., Troyer A., & ONDRI Investigators (2020). The Quality Assurance and Quality Control Protocol for Neuropsychological Data Collection and Curation in the Ontario Neurodegenerative Disease Research Initiative (ONDRI) Study. Assessment. 1073191120913933.

(A) Beaton, D., Meyners, M. (2020). Powerful visualization of product-attribute associations for temporal data. Food Quality and Preference. Code and examples.

(P) Beaton, D., ADNI, Saporta, G., Abdi, H. (2019). A generalization of partial least squares regression and correspondence analysis for categorical and mixed data: An application with the ADNI data. Preprint on bioRxiv.

(A) Sunderland, K. M., Beaton, D., Fraser, J., Kwan, D., McLaughlin, P. M., Montero-Odasso, M., Peltsch, A. J., Pieruccini-Faria, F., Sahlas, D. J., Swartz, R. H., ONDRI Investigators, Strother, S. C., Binns, M. A. (2019). The Utility of Multivariate Outlier Detection Techniques for Data Quality Evaluation in Large Studies: An application within the ONDRI project. BMC Medical Research Methodology.

(A) Guillemot, V., Beaton, D., Gloaguen, A., Löfstedt, T., Levine, B., Raymond, N., Tenenhaus, A., & Abdi, H. (2019). A constrained singular value decomposition method that integrates sparsity and orthogonality. PLOS ONE, 14(3), e0211463.

(P) Beaton, D., Sunderland, K.M., ADNI, Levine, B., Mandzia, J., Masellis, M., Swartz, R. H., Troyer, A. K., ONDRI, Binns, M.A., Abdi, H. Strother, S. C. (2018). Generalization of the minimum covariance determinant algorithm for categorical and mixed data types. Preprint on bioRxiv.

(P) Beaton, D., Rieck, J. R., Alhazmi, F., ADNI, Abdi, H. (2018). Multivariate genotypic analyses that identify specific genotypes to characterize disease and control groups in ADNI. Preprint on bioRxiv.

(A) Alhazmi, F. H., Beaton, D., & Abdi, H. (2018). Semantically defined subdomains of functional neuroimaging literature and their corresponding brain regions. Human brain mapping. 39 (7)

(A) Beaton, D., Dunlop, J. D., ADNI, Abdi, H. (2016). Partial Least Squares Correspondence Analysis: A Framework to Simultaneously Analyze Behavioral and Genetic Data. Psychological Methods. 21 (4)

(A) Allen, G.I., Amoroso, N., Anghel, C., Balagurusamy, V., Bare, C.J., Beaton, D., …, ADNI. (2016). Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. Alzheimer’s & Dementia. 12 (6)

(A) Schwarz, A.L., van Kleeck, A., Beaton, D., Horne, E., MacKenzie, H., Abdi, H. (2015). A Read-Aloud Storybook Selection System for Pre-Readers at the Preschool Language Level: A Pilot Study. Journal of Speech, Language, and Hearing Research. 58

(A) Cioli C., Abdi H., Beaton D., Burnod Y., Mesmoudi S. (2014) Differences in Human Cortical Gene Expression Match the Temporal Properties of Large-Scale Functional Networks. PLoS ONE 9(12): e115913. doi:10.1371/journal.pone.0115913

(A) Beaton, D., Abdi, H., & Filbey, F. M. (2014). Unique aspects of impulsive traits in substance use and overeating: specific contributions of common assessments of impulsivity. The American Journal of Drug and Alcohol Abuse, 40(6), 463–475. doi:10.3109/00952990.2014.937490

(A) Beaton, D., Chin Fatt C.R., & Abdi, H. (2014). An ExPosition of multivariate analysis with the Singular Value Decomposition in R. Computational Statistics & Data Analysis. 72(0), 176 – 189. doi:http://dx.doi.org/10.1016/j.csda.2013.11.006

(A) Abdi, H., Williams, L.J., Beaton, D., Posamentier, M., Harris, T.S., Krishnan, A., & Devous, M.D. (2012). Analysis of regional cerebral blood flow data to discriminate among Alzheimer's disease, fronto-temporal dementia, and elderly controls: A multi-block barycentric discriminant analysis (MUBADA) methodology. Journal of Alzheimer’s Disease. 31 (S3). S189-S201

(A) Pinkham, A. E., Sasson, N. J., Beaton, D., Abdi, H., Kohler, C. G., Penn, D. L. (2012). Qualitatively Distinct Factors Contribute to Elevated Rates of Paranoia in Autism and Schizophrenia. Journal of Abnormal Psychology. 121(3). 767-777.

(A) Beaton, D., Valova, I., & MacLean, D. (2011). TurSOM: A paradigm bridging Turing’s unorganized machines and self-organizing maps demonstrating dual self-organization. Neurocomputing, 74(17), 3125 – 3141.

(A) Beaton, D., Valova, I., & MacLean, D. (2010). CQoCO: A measure for comparative quality of coverage and organization for self-organizing maps. Neurocomputing. 73(10-12), 2147-2159.

(A) Valova, I., Beaton, D., Buer, A., & MacLean, D. (2010). Fractal initialization for high-quality mapping with self-organizing maps. Neural Computing and Applications. 19(7), 953-966.

(A) Valova, I., Beaton, D., MacLean, D., & Hammond, J. (2010). NIPSOM: Parallel Architecture and Implementation of a Growing SOM. The Computer Journal, 53(6), 753-771.

Books

Abdi, H., & Beaton, D. (to appear). Principal Component and Correspondence Analyses Using R. New York: Springer Verlag.

Chapters

Abdi, H., Guillemot, V., Eslami, A., Beaton, D. (2018). Canonical Correlation Analysis.  In Alhajj, H., & Rokne, J. (Eds.), Encyclopedia of Social Network Analysis and Mining. New York: Springer Verlag.

Beaton, D., Kriegsman, M., ADNI, Dunlop, J., Filbey, F. M., & Abdi, H. (2016). Partial Least Squares for mixed-data types: An application for imaging genetics.  In Abdi, H., Esposito Vinzi, V., Saporta, G., Russolillo, G., & Trinchera, L. (Eds.), The Multiple Facets of Partial Least Squares Methods. New York: Springer Verlag.

Beaton, D., Filbey, F., & Abdi H. (2013). Integrating partial least squares correlation and correspondence analysis for nominal data. In Abdi, H., Chin, W., Esposito Vinzi, V., Russolillo, G., & Trinchera, L. (Eds.), New Perspectives in Partial Least Squares and Related Methods. New York: Springer Verlag. pp.81-94.

Kovacevic, N., Abdi, H., Beaton, D., Alzheimer's Disease Neuroimaging Initiative, & McIntosh, A.R. (2013). Revisiting PLS resampling: Comparing significance vs. reliability across range of simulations. In Abdi, H., Chin, W., Esposito Vinzi, V., Russolillo, G., & Trinchera, L. (Eds.), New Perspectives in Partial Least Squares and Related Methods. New York: Springer Verlag.

Valova, I., Beaton, D., & MacLean, D. (2010). Self-organizing Maps for Machine Learning. In Machine Learning. IN-TECH. [link].

Press

ONDRI.ca (2020):

https://ondri.ca/the-caregiver-experience/

ONDRI.ca (2020):

https://ondri.ca/ondri-data-pipelines-adopted-for-covid/

ONDRI.ca (2017): http://www.ondri.ca/news/derek-beaton-wins-organization-human-brain-mapping-award

Yuhas, D. (2017). The Social Ties between Autism and Schizophrenia. Scientific American (online article; via Spectrum) Retrieved from https://www.scientificamerican.com/article/the-social-ties-between-autism-and-schizophrenia/; discusses the work in: Pinkham, A. E., Sasson, N. J., Beaton, D., Abdi, H., Kohler, C. G., Penn, D. L. (2012). Qualitatively Distinct Factors Contribute to Elevated Rates of Paranoia in Autism and Schizophrenia. Journal of Abnormal Psychology. 121(3). 767-777.

Beaton, D. (2014, December). DFW’s Favorite Local Beer, As Proven By An Actual Scientist. Dallas Observer (online article). http://blogs.dallasobserver.com/cityofate/2014/12/dfws_favorite_local_beer_proven_by_a_real_phd_scientist.php

Refereed Conference Proceedings/Short papers

Beaton, D., Sunderland, K. M., Uthirakumaran, A., Arnott, S. R., Bartha, R., Black, S. E., Casaubon, L., Freedman, M., Swartz R. H., Symons, S., ONDRI, Binns, M. A., Strother, S. C. (2018). Robust Outlier Detection for Low and High-Dimensional Neuroimaging Data with Principal Components Analysis and Split-Half Resampling. Presented at JSM2018, Vancouver, B.C., Canada.

Beaton, D., Valova, I., & MacLean, D. (2009). The Use of TurSOM for Color Image Segmentation. Presented at the IEEE International Conference on Systems, Man and Cybernetics, San Antonio, TX, USA.

Beaton, D., Valova, I., & MacLean, D. (2009). TurSOM: A Turing inspired Self-Organizing Map. In Neural Networks, IEEE - INNS - ENNS International Joint Conference on (Vol. 0, pp. 288-295). Los Alamitos, CA, USA: IEEE Computer Society.

Beaton, D., Valova, I., & MacLean, D. (2009). Growing mechanisms and cluster identification with TurSOM. In Neural Networks, IEEE - INNS - ENNS International Joint Conference on (Vol. 0, pp. 280-287). Los Alamitos, CA, USA: IEEE Computer Society.

Valova, I., MacLean, D., & Beaton, D. (2009). ParaSOM: An Efficient Self-Organizing Map for Parallel Multidimensional Input Processing and Clustering. In ASME Press Series on Intelligent Engineering Systems Through Artificial Neural Networks. Presented at the ANNIE 2009, St. Louis, MO, USA.

Hegedus, S., Dalton, S., Brookstein, A., Tapper, J., & Beaton, D. (2009). Relationships between motivation and student performance in a technology-rich classroom environment. In Proceedings of the Thirty First Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (Vol. 5, pp. 185-192). Presented at the PME-NA 2009, Atlanta, GA: Georgia State University.

Valova, I., Beaton, D., & MacLean, D. (2008). Role of Initialization in SOM networks - study of self-similar curve topologies. In ASME Press Series on Intelligent Engineering Systems Through Artificial Neural Networks. Presented at the ANNIE 2008, St. Louis, MO, USA.

Valova, I., MacLean, D., & Beaton, D. (2008). Identification of Patterns via Region-Growing Parallel SOM Neural Network. In Machine Learning and Applications, Fourth International Conference on (Vol. 0, pp. 853-858). Los Alamitos, CA, USA: IEEE Computer Society.

Beaton, D., & Valova, I. (2007). RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data. In Neural Networks, 2007 (pp. 1633-1638). Presented at the International Joint Conference on Neural Networks, 2007. IJCNN 2007.

Beaton, D., & Hegedus, S. (2006). Constructing an Architecture for an Interactive Education Database - Issues of Design and Implementation. Presented at the IADIS Web Applications and Research.

Beaton, D., Valova, I., MacLean, D., & Hammond, J. (2006). Convergence and Optimization Study of a Growing Parallel SOM Through a Genetic Algorithm. In 25th Digital Avionics Systems Conference, 2006 IEEE/AIAA (pp. 1-9). Presented at the 25th Digital Avionics Systems Conference, 2006 IEEE/AIAA.

Beaton, D., & Valova, I. (2005). Alzheimer's detection using neural network techniques and enhanced EEG measurements. In Circuits, Signals, and Systems. Presented at the IASTED International Conference on Circuits, Signals and Systems, Marina Del Rey, CA, USA.

Technical Reports

Hegedus, S., Dalton, S., Brookstein, A., Beaton, D., Moniz, R., Fishman, B., Roschelle, J., Penuel, W. (2009). Scaling Up SimCalc Project: Diffusion of a Research-Based Initiative in Terms of Sustainability and Spread (Technical Report No. 02). N. Dartmouth, MA, USA: James J. Kaput Center for Research and Innovation in STEM Education.

Fishman, B., Penuel, W., Hegedus, S., Moniz, R., Dalton, S., Brookstein, A., Beaton, D., et al. (2009). What Happens When The Research Ends? Factors Related to Sustainability of Research-based Initiative (Technical Report No. 04). Menlo Park, CA, USA: SRI International.

Theses & Dissertations

        Dissertation

Beaton, D. (2017). Implementing Appropriate Multivariate Methods for Higher Quality Results from Genome-wide Association Studies in Substance Abuse Populations. Dissertation in Cognition and Neuroscience, Behavioral and Brain Sciences, The University of Texas at Dallas. Committee: H. Abdi, F.M. Filbey, K. Rodrigue, R. Golden.

        Qualifying thesis

Beaton, D. (2012). Partial Least Squares-Correspondence Analysis Reveals the Genetic Correlates of Impulse and Addiction. Qualifying Thesis in Cognition and Neuroscience, Behavioral and Brain Sciences, The University of Texas at Dallas. Committee: H. Abdi, F.M. Filbey, M.D. Rugg.

        Master’s thesis

Beaton, D. (2008). Bridging Turing Unorganized Machines and Self-organizing Maps for Cognitive Replication. Master’s Thesis in Computer Science, University of Massachusetts at Dartmouth. Committee: I. Valova, H. Xu, X. Zhang

        Master’s project

Beaton, D. (2007). A neural network based-system for classification of EEG data correlating to neural or cognitive impairment. Master’s Project in Computer Science, University of Massachusetts at Dartmouth. Committee: I. Valova, L. Shen, X. Zhang

Awards

Funding & Fellowships

2016-2021

        Ontario Neurodegenerative Disease Research Initiative (ONDRI) Postdoctoral Scholar.

ONDRI Scholars Announced

2013-2016

NIH NRSA #F31DA035039-01A1.

Implementing Appropriate Multivariate Methods for Higher Quality Results from Genome-wide Association Studies in Substance Abuse Populations.

2014

Neuroimaging Training Program (NITP) Summer Fellowship

UCLA. Course details. 

2008

NSF Grant #0812995: East Asia Pacific Summer Institute Fellow. [link]

Graduate Institute of Network Learning Technology, National Central University, Jhong-Li, Taiwan. Host advisor: Tak-Wai Chan, Ph.D.

http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0812995

Paper/presentation/misc. Awards

2024

        Solventum Health Care: Disruptive innovation initiative within an organization

https://cchl-ccls.ca/national-awards-program/award-profiles/solventum-health-care-innovation-team-awards/

2017

        IPN Case Competition

Melo, H., Rieck, J., and Beaton D. (2017). Predictors of caregiver burden in dementia and the impact on caregiver well-being. Baycrest Innovative Perspectives in Neuroscience conference. Data analysis case competition (CSHA 1991 data: http://csha.ca/r_data_collected.asp).

Merit Abstract Award: OHBM 2017

Beaton D., Bartha R., Black S.E., Casaubon L., Dowlatshahi D.,  Hassan A.,  Kwan D., Levine B., Mandzia J., McLaughlin P., Orange J., Peltsch A., Ramirez J., Roberts A., Sahlas D., Saposnik G., Swartz R., Symons S., Troyer A., Strother S.C., ONDRI Investigators (2017). Vascular cognitive impairment subgroups show distinct aspects of preserved cognition. To be presented at OHBM 2017, Vancouver, BC, Canada.

        Most promising project: BrainHack Global Toronto

Rieck, J.,  Beaton, D.: MARINeR: Multivariate Analysis and Resampling Inference for Neuroimaging in R. https://github.com/derekbeaton/BrainHack_TO_2017/tree/master/MARINeR

2016

        Third prize in poster competition

Beaton, D., Dunlop, J., Abdi, H., Filbey, F.M. (2016). Endocannabinoid, GABA-ergic, and dopaminergic contributions to neural response of different reward types. Presented at International Imaging Genetics Conference, Irvine, CA.

2013

First prize in Society for Applied Multivariate Research.

Beaton, D., Filbey, F. M., Abdi, H. (2013). Partial Least Squares Correspondence Analysis Reveals Genetic Correlates of Impulsivity and Addiction. Presented at Southwestern Psychological Association Annual Meeting, Ft. Worth, TX.

Third prize in Society for Applied Multivariate Research.

Faso, D., Beaton, D., Abdi, H., Sasson, N. J., Pinkham, A. E., (2013). Distinct Visual Patterns in Clinical Populations Identified by Partial Least Squares. Presented at Southwestern Psychological Association Annual Meeting, Ft. Worth, TX.

2012

Meritorious Poster Submission (1 of 48 Meritorious Posters out of 1138 posters)

Schwarz, A. L., van Kleeck, A., Beaton, D., Horne, E., Ahn, L., MacKenzie, H. (2012). Capturing Decision-Making: SLPs' Criteria for Selecting Preschool Read-Aloud Storybooks. Presented at American Speech-Language-Hearing Association Annual Meeting 2012, Atlanta, GA.

2011

Student Travel Award(s):

NeuroInformatics 2011. [link]

Society for Mathematical Psychology: MathPsych 2011

2010

Student Travel Award:

Society for Mathematical Psychology: MathPsych 2010

2008

Best Paper

Valova, I., Beaton, D., MacLean, D. (2008). Role of Initialization in SOM networks - study of self-similar curve topologies. In ASME Press Series on Intelligent Engineering Systems Through Artificial Neural Networks. Presented at the ANNIE 2008, St. Louis, MO, USA.

Software

For up-to-date software, and open materials see my Github: https://github.com/derekbeaton (or sometimes my website: http://derekbeaton.com/)

R packages (distributed)

Beaton, D. (2013). prettyGraphs: publication style graphics (Version 2.1.5) [Software]. Available from http://cran.r-project.org/web/packages/prettyGraphs/index.html or https://github.com/derekbeaton/ExPosition1 

Beaton, D., Chin Fatt, C., R., Abdi, H. (2013). ExPosition: Exploratory analysis with the singular value decomposition (Version 2.8.19) [Software]. Available from http://cran.r-project.org/web/packages/ExPosition/index.html  or

https://github.com/derekbeaton/ExPosition1

Beaton, D., Dunlop, J., Abdi, H. (2013). InPosition: Inference tests for ExPosition (Version 0.12.7) [Software]. Available from http://cran.r-project.org/web/packages/InPosition/index.html  or https://github.com/derekbeaton/ExPosition1 

Beaton, D., Rieck, J., Chin Fatt, C., R., Abdi, H.  (2013). TExPosition: Two-table ExPosition (Version 2.6.10) [Software]. Available from http://cran.r-project.org/web/packages/TExPosition/index.html or

https://github.com/derekbeaton/ExPosition1 

Beaton, D., Rieck, J., Abdi, H.  (2013). TInPosition: Inference tests for TExPosition (Version 0.13.6) [Software]. Available from http://cran.r-project.org/web/packages/TExPosition/index.html  or

https://github.com/derekbeaton/ExPosition1 

Chin Fatt, C., R., Beaton, D., Abdi, H.  (2013). MExPosition: Multi-table ExPosition (Version 2.0.3) [Software]. Available from http://cran.r-project.org/web/packages/MExPosition/index.html  or

https://github.com/derekbeaton/ExPosition1 

Beaton, D., Chin Fatt, C., R., Abdi, H. (2013). DistatisR: DiSTATIS Three Way Metric Multidimensional Scaling (Version 1.0) [Software]. Available from http://http://cran.r-project.org/web/packages/DistatisR/index.html  or

https://github.com/derekbeaton/ExPosition1 

R packages (in development)

ExPosition 2: https://github.com/derekbeaton/ExPosition2

Generalized SVD: https://github.com/derekbeaton/GSVD

Generalized Partial Least Squares: https://github.com/GPLS

OuRS: Outliers and Robust Structures: https://github.com/derekbeaton/ours

outlieRs: a package for outlier analyses and identification (deprecated): https://github.com/derekbeaton/outlieRs

Professional Relationships and Duties

Committees

• 2019 organizing committee BrainHackTO (2x)

• CAN-ACN Satellite (May 2019)
• Global (Nov. 2019)

• 2017-2020 Steering committee member for Rotman Research Institute (RRI) Research Training Center (RTC)
• 2017 Program Chair for Society for Applied Multivariate Research (at Southwestern Psychological Association).
• 2016 Program Chair for Society for Applied Multivariate Research (at Southwestern Psychological Association).
• 2015 Program Chair for Society for Applied Multivariate Research (at Southwestern Psychological Association).

Ad-hoc Reviewer

• Journal of Cognitive Neuroscience
• Nature: Human Behavior
• Neuroimage
• PNAS
• Alzheimer’s & Dementia
• Human Brain Mapping
• The American Journal of Drug and Alcohol Abuse
• Research in Autism Spectrum Disorders
• Food Quality and Preference
• IEEE Transactions on Neural Networks and Learning Systems
• Symposium Series on Computational Intelligence (SSCI)
• International Joint Conference on Neural Networks (IJCNN)

Member

• Organization for Human Brain Mapping (2015-2020)
• Cognitive Neuroscience Society (2015-2017)
• Foundation for Open Access Statistics (FOAS; 2013-Present)
• Society for Applied Multivariate Research (SAMR; 2013-2017)
• Southwestern Psychological Association (SWPA; 2012-2017)
• Society for Mathematical Psychology (SMP; 2010-2014)
• International Neural Network Society (INNS; 2007-2009)
• National Council of Teachers of Mathematics (NCTM; 2006-2008)

Mentorship

• Rachael Walker, Matthew Ing, Robert Grzesiuk, Scott Oxholm: time series, staff resourcing (Sep 2022 - April 2023)
• Siyuan Shang: data science, MLOps, time series, machine learning (May 2022-Dec 2022)
• Leah Gaffney, Helen Lu, Wanying Dou, Hyemin Bang: data science, statistics, machine learning, multiple sclerosis (Fall 2022)
• Prakriti Ailavadi, Zhenghao Zhang, Vinkush Dhamija, Yuxin Ye: assignment, optimization, emergency department (Winter/Spring 2022)
• Martin Ho: data science, statistics, machine learning, multiple sclerosis (Winter/Spring 2022)
• Chong Shao: data science, statistics, machine learning (2021)
• Jedid Ahn: data science, data standards, software development (2018-2021)
• Logan Lim: software development, outlier analyses, data standards (2020-2021)
• Raadhika Venkatesh: data standards, outlier analyses, data science (2019-2021)
• Pirammiya Shanmugathas: data standards, outlier analyses, data science (2019-2020)
• Roberto Lentini: software development, data standards (2020)
• Jeremy Tanuan: data science, software development (2018-2019)
• Ningcan (Vonna) Sun: data science, outlier analyses, synthetic data (2019-2020)
• Rachelle Akpanumoh: linear models for single nucleotide polymorphisms; Summer 2014
• Fahd Alhazmi: univariate vs. multivariate tests for single nucleotide polymorphisms, multivariate mega-meta semantic analyses of neuroimaging databases; 2014-2017
• Libby Damjanovic: multivariate and non-parametric analyses for surveys; September 02-12, 2014

Public service

Outreach

• Presenter at ONDRI Friends & Family Day
• Press release for and live Tweeting of Rotman Research Conference 2018 (#RRIC2018; http://research.baycrest.org/conference)

Wikipedia

• Substantial update to Generalized Singular Value Decomposition
• Substantial update to Correspondence Analysis
• Minor additions to Principal Component Analysis
• Minor clarification to Rv coefficient

Professional Experience

2016-present

Postdoctoral Fellow/ONDRI Scholar, Rotman Research Institute, Baycrest Health Sciences and Ontario Neurodegenerative Disease Research Initiative.

2013-2016:

NRSA Predoctoral Fellow, School of Behavioral and Brain Sciences, The University of Texas at Dallas.

2009-2017:

Graduate Assistant, School of Behavioral and Brain Sciences, The University of Texas at Dallas (Hervé Abdi, Ph.D.)

Responsibilities: Development of software tools, statistical modeling/analysis, pattern classification, pattern recognition, functional neuroimaging, behavioral measures, genomics.

2009-2013:

Teaching Assistant, School of Behavioral and Brain Sciences, The University of Texas at Dallas (Dana Roark, Ph.D.; Daniel Krawczyk, Ph.D.; Hervé Abdi, Ph.D.; Joseph Dunlop, M.S.; Noah Sasson, Ph.D.; Gail Tillman, Ph.D.)

Responsibilities: Grading, material reviews, class lectures, course content.

2008-2012:

Contract Biostatistician/Bioinformatics Analyst, General Urology Lab, Boston University Medical Center (Louis Liou, MD)

Responsibilities: Statistical analyses, development of software tools.

2008-2009:

Research Associate, James J. Kaput Center for Research and Innovation in Mathematics Education (Stephen Hegedus, Ph.D.)

Responsibilities: Data collection, teacher training, software development/testing, statistical analysis.

2007-2008:

Research Assistant, James J. Kaput Center for Research and Innovation in Mathematics Education (Stephen Hegedus, Ph.D.)

Responsibilities: Data collection, teacher training, software development/testing.

2006-2008:

Research Assistant, Neural and Adaptive Systems Lab (Iren Valova, Ph.D.)

Responsibilities: Development and analysis of neural algorithms, authorship.

Teaching Assistant, Computer and Information Sciences Department, University of Massachusetts at Dartmouth (Iren Valova, Ph.D.; Li Shen, Ph.D.; Ryan Robidoux, MS)

Responsibilities: Grading, curriculum design, teaching.

2004-2007:

Research Assistant, SimCalc Projects (James Kaput, Ph.D.; Stephen Hegedus, Ph.D.)

Responsibilities: Software development/testing, data collection, teacher training.

Teaching Experience

2019

Guest Lectures: MULTIVARIATE STATISTICAL INFERENCE (Graduate course).

Topics: Simple and multiple correspondence analysis

Instructors: Randy McIntosh, Ph.D., Brad Buchsbaum, Ph.D.

2015

Teaching Assistant/Co-instructor: Univariate and Multivariate Analysis in R (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Research Methods in Behavioral and Brain Sciences III (Graduate course).

Topics: PCA, PLS, Discriminant Methods, Clustering, etc...

Instructor: Hervé Abdi, Ph.D.

2014

Guest Lectures: Research Methods in Behavioral and Brain Sciences II (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Cognitive Science (Graduate course).

Topic: Alan Turing and his contributions to cognitive science.

Instructor: Alice O’Toole, Ph.D.

2013

Teaching Assistant/Co-instructor: Univariate and Multivariate Analysis in R (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Univariate and Multivariate Analysis in R (Graduate course).

Topics: R, PCA, MDS, PLS, Discriminant Methods, Multi-block methods, Clustering, etc...

Instructor: Hervé Abdi, Ph.D.

Teaching Assistant: Research Methods in Behavioral and Brain Sciences III (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Research Methods in Behavioral and Brain Sciences III (Graduate course).

Topics: PCA, PLS, Discriminant Methods, Clustering, etc...

Instructor: Hervé Abdi, Ph.D.

Teaching Assistant: Research Methods in Behavioral and Brain Sciences II (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Cognitive Science (Graduate course).

Topic: Alan Turing and his contributions to cognitive science.

Instructor: Alice O’Toole, Ph.D.

2012

Teaching Assistant: Research & Evaluation Methods (Undergraduate course)

Instructor: Gail Tillman, Ph.D.

Guest Lectures: Research & Evaluation Methods (Undergraduate course)

Topics: t-tests, ANOVAs

Instructor: Gail Tillman, Ph.D.

Teaching Assistant/Co-instructor: Univariate and Multivariate Analysis in R (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Univariate and Multivariate Analysis in R (Graduate course).

Topics: R, PCA, MDS, PLS, Discriminant Methods, Multi-block methods, Clustering, etc...

Instructor: Hervé Abdi, Ph.D.

Teaching Assistant: Research Methods in Behavioral and Brain Sciences III (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Research Methods in Behavioral and Brain Sciences III (Graduate course).

Topics: PCA, PLS, Discriminant Methods, Clustering, etc...

Instructor: Hervé Abdi, Ph.D.

Teaching Assistant: Research Methods in Behavioral and Brain Sciences II (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Research Methods in Behavioral and Brain Sciences II (Graduate course).

Topics: Correlation, regression, ANOVA

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Cognitive Science (Graduate course).

Topic: Alan Turing and his contributions to cognitive science.

Instructor: Alice O’Toole, Ph.D.

2011

Teaching Assistant: Research Design & Analysis (Undergraduate course).

Instructor: Noah Sasson, Ph.D.

Guest Lectures: Research Design & Analysis (Undergraduate course)

Topic: Communicating Research in Research Design & Analysis

Instructor: Noah Sasson, Ph.D.

Teaching Assistant/Co-instructor: Univariate and Multivariate Analysis in R (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Univariate and Multivariate Analysis in R (Graduate course).

Topics: Intro to R, ANOVA, Bootstrap, Permutation Tests, PCA in R Course

Instructor: Hervé Abdi, Ph.D.

Teaching Assistant: Research Methods in Behavioral and Brain Sciences III (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Research Methods in Behavioral and Brain Sciences III (Graduate course).

Topics: Multi-block Analysis, STATIS, Clustering

Instructor: Hervé Abdi, Ph.D.

Teaching Assistant: Research Methods in Behavioral and Brain Sciences II (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Research Methods in Behavioral and Brain Sciences II (Graduate course).

Topics: Correlation, regression, ANOVA

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Cognitive Science (Graduate course).

Topic: Alan Turing and his contributions to cognitive science.

Instructor: Alice O’Toole, Ph.D.

2010

Teaching Assistant: Research Methods in Behavioral and Brain Sciences III (Graduate course).

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Research Methods in Behavioral and Brain Sciences III (Graduate course).

Topics: Statistical Analyses Using R.

Instructor: Hervé Abdi, Ph.D.

Teaching Assistant: Research Methods in Behavioral and Brain Sciences I (Graduate course).

Instructor: Joseph Dunlop, MS

Teaching Assistant: Cognitive Psychology (Undergraduate course).

Instructor: Daniel Krawczyk, Ph.D.

2009

Teaching Assistant: Experimental Projects (Undergraduate course).

Instructor: Dana Roark, Ph.D.

Guest Lectures: Advanced Research Methods: Statistical Analysis Using R.

Topics: PCA, FactoMineR, Clustering

Instructor: Hervé Abdi, Ph.D.

Guest Lectures: Research Methods in Behavioral and Brain Sciences III.

Topics: Clustering

Instructor: Hervé Abdi, Ph.D.

2008

Teaching Assistant/Lab Instructor: Introduction to C Programming (Undergraduate course).

Instructor: Ryan Robidoux, M.S.

Teaching Assistant: Video Game Design (Undergraduate course).

Instructor: Iren Valova, Ph.D.

Guest Lectures: Video Game Design (Undergraduate course).

Topic: Proprioception and Haptics in Gaming

Instructor: Iren Valova, Ph.D.

Teaching Assistant: Artificial Intelligence (Undergraduate course).

Instructor: Iren Valova, Ph.D.

Guest Lectures: Artificial Intelligence (Undergraduate course).

Topics: Neural Computation

Instructor: Iren Valova, Ph.D.

2007

Teaching Assistant/Lab Instructor: Introduction to C Programming (Undergraduate course).

Instructor: Ryan Robidoux, M.S.

Teaching Assistant: Artificial Intelligence (Undergraduate course).

Instructor: Iren Valova, Ph.D.

Guest Lectures: Artificial Intelligence (Undergraduate course).

Topics: Neural Computation

Instructor: Iren Valova, Ph.D.

2006

Teaching Assistant/Lab Instructor: Procedural Programming with C (Undergraduate course).

Instructor: Li Shen, Ph.D.

Guest Lectures: Data Mining and Knowledge Discovery (Undergraduate course).

Topic: Hierarchical clustering 

Instructor: Iren Valova, Ph.D.

Conferences, Workshops, & Presentations

2019

• Rotman Research Institute (RRI) Research Training Center (RTC)

• Principal components and multiple correspondence analysis (https://github.com/derekbeaton/Workshops/tree/master/RTC/PCA_MCA_Resampling)

• BrainHackTO:2019

• Reproducible and collaborative workflow in RStudio (https://github.com/jennyrieck/workshops/tree/master/2019_Rstudio_Magic)

2017

• Rotman Research Institute (RRI) Research Training Center (RTC)

• Resampling Analysis for Univariate and Multivariate Analyses in R (https://github.com/derekbeaton/Workshops/tree/master/RTC/Apr2017)
• Almost Everything You Need to Know about Partial Least Squares

• Part 1: (https://github.com/derekbeaton/Workshops/tree/master/RTC/Oct2017/Part1)
• Part 2: (https://github.com/derekbeaton/Workshops/tree/master/RTC/Oct2017/Part2)

• Society for Applied Multivariate Research (SAMR) at Southwest Psychological Association (SWPA)

• Introduction to R (https://github.com/derekbeaton/Workshops/tree/master/SAMR2017)

• RRI Rounds

• Genome-wide pattern analysis in Alzheimer’s Disease (preprint: https://www.biorxiv.org/content/early/2017/12/18/235945)

2016

• Twelfth International Imaging Genetics Conference, 2016

• Poster presentation -- awarded 3rd prize.

2015

• Organization for Human Brain Mapping, 2015

• Three posters (one first author)

• Southwest Psychological Association, 2015

• Workshop: An Introduction to Permutation and Bootstrap Resampling.
• Workshop: Complementary and alternative approaches to p-values: Intervals, Effect Sizes, and Practical Advice.

2014

• Partial Least Squares and Related Methods, 2014

• Two talks

• Southwest Psychological Association, 2014 (workshop materials)

• Workshop: An ExPosition of Bootstrap and Permutation tests for Principal Components Analyses.
• Workshop: An Introduction to ANOVA in R.

• Tenth International Imaging Genetics Conference, 2014

• Poster presentation

2013

• Southwest Psychological Association, 2013

• Poster presentation

• Ninth International Imaging Genetics Conference, 2013

• Poster presentation

2012

• Neural Computation, 2012

• Poster Presentation

• Partial Least Squares and Related Methods, 2012

• Talk

• Eighth International Imaging Genetics Conference, 2012

• Poster presentation

2011

• Society for Neuroscience, 2011

• Poster Presentation

• NeuroInformatics, 2011

• Poster Presentation

• Neural Computation, 2011

• Poster Presentation

• Society for Mathematical Psychology, 2011

• Talk

• Neuroscience of Stress and Memory Conference, 2011

• Data Blitz

• Dallas Aging and Cognition Conference, 2011

• Poster presentation

• Seventh International Imaging Genetics Conference, 2011

• Poster presentation

2010

• First Annual Greater Dallas Human Brain Imaging Retreat, 2010

• Poster presentation

• Society for Mathematical Psychology, 2010

• Poster presentation

2009

• International Joint Conference on Neural Networks, 2009 - Atlanta, GA

• Two poster presentations

• International Conference on Cognitive and Neural Systems, 2009 - Boston, MA

• Poster presentation

2007

• Executive Briefing Center, Apple Inc, Cupertino, CA

• Presentation of SimCalc materials, software and curriculum

• International Joint Conference on Neural Networks, 2007 - Orlando, FL

• Poster presentation

• National Council of Teachers of Mathematics 2007 – Atlanta, GA

• Several workshops (SimCalc software)

• T3 ("T-Cubed", Teachers Teaching with Technology)  – Chicago, IL.

• SimCalc booth operator

2006

• International Association for the Development of the Information Society: Web Applications and Research

• Paper presentation

• SRI TexTeam Scale Up 2006 (SimCalc representative)

• Technology/Curriculum Instructor (June – Edinburg, TX; August – Ft. Worth, TX)

2005

• International Association of Science and Technology for Development: Circuits, Signals and Systems 2005 – Marina Del Rey, CA.

• Paper presentation

• National Council of Teachers of Mathematics 2005 – Denver, CO

• SimCalc workshop

• T3 ("T-Cubed", Teachers Teaching with Technology) 2005 – Washington, D.C.

• SimCalc booth operator

2004

• Association of Teachers of Mathematics in New England 2004 – Providence, RI

• SimCalc workshop

Abstracts

Refereed Abstracts (an incomplete list)

Beaton, D., Dilliot, A., Ramirez, J., Scott, C. J. M., Masellis, M., McLaughlin, P. M., Strother, S. C., et al. (2020). Gene-brain-behavior continuums across neurodegenerative disorders in ONDRI. Presented (virtually!) at Organization for Human Brain Mapping, 2020, The Internet. See here for the poster

Beaton, D., Roberts, A. C., Munoz, D., Swartz, R. H., Breen, D. P., Lang, A., Black, S. E., Borrie, M., Fischer, C., Kumar, S., Freedman, M., Seitz, D., Frank, A., Finger, E. Zinman, L., Grimes, D. A., Masellis, M., Sunderland, K. M., Tan, B., Binns, M. A., Strother, S. C., Mandzia, J., Orange J. B., Tartaglia, M. C., McLaughlin, P. M., Kwan, D, & ONDRI Investigators. (2019). Relationship between caregiving burdens and clinical characteristics in the Ontario Neurodegenerative Disease Research Initiative (ONDRI). Presented at the 10th Canadian Conference on Dementia, Quebec City, Quebec, Canada.

Haddad, S. M. H. , Scott, C. J. M., Arnott, S. R., Ozzoude, M., Strother, S. C., Black, S. E., Borrie, M. J., Finger, E., Tartaglia, M. C., Kwan, D., Beaton, D., Symons, S., Soddu, A., Menon, R., Montero-Odasso, M., & Bartha, R. (2019). Frequency-dependent resting-state brain activity mapping: comparing healthy elderly to mild cognitive impairment and Alzheimer’s disease. Presented at Alzheimer's Association International Conference (AAIC), Los Angeles, USA, 2019.

Haddad, S. M. H. , Scott, C. J. M., Arnott, S. R., Ozzoude, M., Strother, S. C., Black, S. E., Borrie, M. J., Finger, E., Tartaglia, M. C., Kwan, D., Beaton, D., Symons, S., Soddu, A., Montero-Odasso, M., & Bartha, R. (2019). Brain activity mapping based on low-frequency fluctuations of the resting-state BOLD signal: comparing healthy elderly to mild cognitive impairment and Alzheimer’s disease. Presented at the 27th  annual meeting & exhibition of International Society for Magnetic Resonance in Medicine (ISMRM 2019), Montreal, Canada, 2019.

Haddad, S. M. H. , Pieruccini-Faria, F., Scott, C. J. M. , Arnott, S. R., Ozzoude, M., Swartz, R. H., Mandzia, J., Kwan, D., Beaton, D., McLaughlin P. M., Roberts, A. C., Strother, S. C., Black, S. E., Symons, S., Mcllroy, B., Bartha, R., and Montero-Odasso M. (2019). Brain perivascular space volume is associated with poor gait reserve in vascular cognitive impairment. Presented at the 39th annual scientific meeting of the Canadian Geriatrics Society, Halifax, Canada, 2019.

Beaton, D., Zamyadi, M., Arnott, S., Bartha, R., Mandzia, J., Scott, C. M., Swartz, R. H., Strother, S. C. (2019). Individual and group-level multivariate resting state fMRI profiles in vascular cognitive impairment. Presented at the Organization for Human Brain Mapping 2019, Rome, Italy.

Beaton, D., Roberts, A. C., Munoz, D., Swartz, R. H., Breen, D. P., Mandzia, J., Orange J. B., Tartaglia, M. C., McLaughlin, P. M., Kwan, D, & ONDRI Investigators. (2019). Relationship between caregiving burdens and clinical characteristics in the Ontario Neurodegenerative Disease Research Initiative (ONDRI). Presented at the Rotman Research Institute Conference, Toronto, Ontario, Canada.

Beaton, D., Zamyadi, M., Arnott, S., Bartha, R., Mandzia, J., Scott, C. M., Swartz, R. H., Strother, S. C. (2019). Individual and group-level multivariate resting state fMRI profiles in vascular cognitive impairment. Presented at the Rotman Research Institute Conference, Toronto, Ontario, Canada.

Filbey, F. M., Beaton, D., Prasad, S. (2018). Interaction of Cannabinoid Receptor Genes and Stress on Neural Responsivity to Reward Cues. Presented at the American College for Neuropsychopharmocology.

Beaton, D., Sunderland, K.M., Hassan, A., Swartz, R. H., ONDRI Investigators, McLaughlin, P. M., Kwan, D., Binns, M.A., Strother, S.C. (2018). An overview of the developments and implementations of the ONDRI outlier pipelines. Presented at Neuroinformatics, Montreal, QC.

Sunderland, K. M., Beaton, D., Fraser, J., Kwan, D., McLaughlin, P. M., Montero-Odasso, M., Peltsch, A. J., Pieruccini-Faria, F., Sahlas, D.J., Swartz, R. H., Strother, S. C., Binns, M. A., and ONDRI Investigators. (2018). Using Multivariate Outlier Detection for Data Quality Evaluation in Large Studies: An application within the ONDRI project. Presented at Neuroinformatics, Montreal, QC.

Beaton, D., Sunderland, K.M., Uthirakumaran, A., Arnott, S.R., Bartha, R. Black, S.E., Casaubon, L. Freedman, M. Swartz, R.H. Symons, S., ONDRI Investigators, Binns, M.A., Strother, S.C. (2018). Robust outlier detection for low and high dimensional neuroimaging data with principal components analysis and split-half resampling. Presented at the Joint Statistical Meeting, Vancouver, BC.                                         

Beaton, D., Meyners, M. (2018). Powerful visualization of product-attribute associations for T-CATA data. To be presented at Sensometrics,  Montevideo, Uruguay.

Beaton D., Bartha R., Black S.E., Casaubon L., Dowlatshahi D.,  Hassan A.,  Kwan D., Levine B., Mandzia J., McLaughlin P., Orange J., Peltsch A., Ramirez J., Roberts A., Sahlas D., Saposnik G., Swartz R., Symons S., Troyer A., Strother S.C., ONDRI Investigators (2017). Vascular cognitive impairment subgroups show distinct aspects of preserved cognition. Presented at OHBM 2017, Vancouver, BC, Canada. -- Awarded Merit Abstract Award.

Beaton, D., Dunlop, J., Abdi, H., Filbey, F.M. (2016). Endocannabinoid, GABA-ergic, and dopaminergic contributions to neural response of different reward types. Presented at International Imaging Genetics Conference, Irvine, CA. -- Awarded 3rd Prize.

Beaton, D., Palombo, D.J., Bacopulos, A., Todd, R.M., Mueller, D.J., Anderson, A.K., Abdi, H., Levine, B. (2016). Genetic associations of objective and subjective measures of autobiographical memory. Presented at Cognitive Neuroscience Society, New York, New York.

Alhazmi, F., Beaton, D., Abdi, H. (2016). Identifying latent semantic groups of studies and their corresponding brain regions from the NeuroSynth database. Presented at Cognitive Neuroscience Society, New York, New York.

Dutcher, A., Kmiecik, M.J., Beaton, D. (2016). Analyzing multi-block data: A tutorial of Multiple Factor Analysis in R. Presented at Southwest Psychological Association, Dallas, TX.

Beaton, D., Abdi, H. (2016). Reproducible components through split-half resampling: another look at stopping rules. Presented at Southwest Psychological Association, Dallas, TX.

Abdi, H., Beaton, D., Saporta, G. (2015). Generalizing partial least squares and correspondence analysis methods to predict categorical and heterogeneous data. Presented at Correspondence Analysis and Related Methods, Naples, Italy.

Beaton, D., Dunlop, J., Abdi, H., Filbey, F.M. (2015). Specific effects of FAAH and CNR on neural response to different reward types. Presented at Organization for Human Brain Mapping. Honolulu, HI.

Cioli, C., Abdi, H., Beaton, D., Burnod, Y., Mesmoudi, S. (2015). Human cortical gene expression matches the properties of functional networks:a hierarchical approach. Presented at Organization for Human Brain Mapping. Honolulu, HI.

Williams, L.J., Kim, H.,  Fitzpatrick, K., Beaton, D., Abdi, H., Bjornson, B. (2015). Ascertaining atypical individual patterns from group mental rotation networks in epileptic children. Presented at Organization for Human Brain Mapping. Honolulu, HI.

Faso. D., Beaton., D. (2015). Complementary and alternative approaches to p-values: Intervals, Effect Sizes, and Practical Advice. Presented at Southwestern Psychological Association. Wichita, KS.

Beaton, D., Faso, D., Sasson, N., Abdi, H. (2015). An Introduction to Permutation and Bootstrap Resampling. Presented at Southwestern Psychological Association. Wichita, KS.

Krishnan, A., et al., (2014). Meta-analysis of neuroimaging data in a multivariate framework: A barycentric hellinger discriminant analysis (BAHEDA) approach. Presented at Society for Neuroscience 2014. Washington, D.C.

Krishnan, A., Atzil, S., Satpute, A., Beaton, D., Ruzic, L., Abdi, H., Wager., T., Barret, L. (2014). MULTIVARIATE META-ANALYSIS: SEARCH FOR CONSISTENT MIND-BRAIN

CORRESPONDENCE ACROSS ‎THE ‎NEUROIMAGING LITERATURE. Presented at Society for Affective Science 2014.

Cioli, C., Mesmoudi, S., Beaton, D., Rudrauf, D., Abdi, H., Burnod, Y. (2014).  Integration of functional cerebral networks and genetic expression: the dual intertwined rings architecture of the cerebral cortex. Presented at Computational Neuroscience 2014.

Beaton, D., Dunlop, J., Filbey, F., M., Abdi, H. (2014). ConcatPLS: PLSC for one continuous data set and one categorical data set.  Presented at Partial Least Squares and Related Methods 2014. Paris, France.

Beaton, D., Bernard, A., Abdi, H., Saporta., G. (2014). An integration of partial least squares and sparsified multiple correspondence analysis for genetic data. Presented at Partial Least Squares and Related Methods 2014. Paris, France.

Beaton, D., Dunlop, J., Abdi, H. (2014). An ExPosition of Bootstrap and Permutation for Principal Components Analyses. Presented at the SWPA 2014. San Antonio, TX.

Faso, D., Beaton, D., Sasson, N., M., Abdi, H. (2014). An introduction to ANOVA in R. Presented at the SWPA 2014. San Antonio, TX.

Beaton, D., Dunlop, J., Filbey, F., M., Abdi, H. (2014). Partial Least Squares for mixed-data analysis in Imaging Genetics. Presented at the Tenth International Imaging Genetics Conference, Irvine, CA.

Levine, B., Bacopulos, A., Anderson, N.D., Black, S.E., Davidson, P.S.R., Fitneva, S.A., McAndrews, M.P., Spaniol, J., Jeyakumar, N., Abdi, H., Beaton, D., Owen, A.M., & Hampshire, A. (2013). Validation of a Novel Computerized Test Battery for Automated Testing. Poster presented at Canadian Stroke Congress, October 17-20, 2013, Montreal, Quebec.

Beaton, D., Filbey, F., M., Abdi, H. (2013). Partial Least Squares Correspondence Analysis Reveals Genetic Correlates of Impulsivity and Addiction. Presented at Southwestern Psychological Association Annual Meeting, Ft. Worth, TX. Awarded first prize in Society for Applied Multivariate Research.

Faso, D., Beaton, D., Abdi, H., Sasson, N. J., Pinkham, A. E. (2013). Distinct Visual Patterns in Clinical Populations Identified by Partial Least Squares. Presented at Southwestern Psychological Association Annual Meeting, Ft. Worth, TX. Awarded third prize in Society for Applied Multivariate Research.

Rieck, J. R., Beaton, D., McDonough, I., Abdi, H, Park, D. C. (2013) Dissociating age-related patterns of neural activity along the ventral visual stream during face and object processing. Presented at Twentieth Cognitive Neuroscience meeting, San Francisco, CA.

Wong, J., de Chastelaine, M., Beaton, D., Abdi, H., Rugg, M. D. (2013). Dissociation between item-item and item-context memory associations. Presented at Twentieth Cognitive Neuroscience meeting, San Francisco, CA.

Beaton, D., Dunlop, J., Filbey, F. M., Abdi, H. (2013). Connecting Connectivity: Revealing the genetic influences of brain networks in a substance abuse population. Presented at the Ninth International Imaging Genetics Conference, Irvine, CA.

Beaton, D., Filbey, F. M., Abdi, H. (2012). Integrating genetic, neuroimaging and behavioral data with correspondence analysis: An illustration in addictive populations. Presented at the Eighth International Imaging Genetics Conference, Irvine, CA. [PDF]

Rieck, J. R., Beaton, D., Krishnan, A., Abdi, H., & Park, D. C. (2012). Older adults show less neural differentiation for processing human, primate, and cat faces in ventral temporal cortex. Poster presented at the Cognitive Aging Conference, Atlanta, GA.

Chin Fatt, C. R., Beaton, D., Abdi, H. (2012). DISTATIS: Three-way metric multidimensional scaling and its extensions. Presented at the Classification Society Annual Meeting 2012, Pittsburgh, PA.

Schwarz, A.L., van Kleeck, A., Beaton, D., Horne, E., Ahn, L., MacKenzie, H. (2012). Capturing Decision-Making: SLPs' Criteria for Selecting Preschool Read-Aloud Storybooks. Presented at American Speech-Language-Hearing Association Annual Meeting 2012, Atlanta, GA.

Rieck, J., Beaton, D., Krishnan, A., Abdi, H., Park, D. (2011). Identifying Patterns of Neural Activity During Visual Category Processing in Young and Old Adults with Multi-Block Barycentric Discriminant Analysis. Presented at Society for Neuroscience 2011, Washington, D.C.

Beaton, D., Abdi, H. (2011). Partial Least Squares-Correspondence Analysis (PLS-CA): A New Method to Analyze Common Patterns in Measures of Cognition and Genetics. Presented at NeuroInformatics 2011, Boston, MA. [PDF]

Beaton, D., Abdi, H. (2011). Partial Least Squares-Correspondence Analysis (PLS-CA): A new approach to link measures of cognition and genetics. Presented at MathPsych 2011, Boston, MA. [PDF].

Beaton, D., Abdi, H. (2011). Integrating Partial-least Squares and Correspondence Analysis for Genetics-based Cognition Research. Presented at the Seventh International Imaging Genetics Conference, Irvine, CA. [PDF]

Sasson, N. J., Dichter, G. S., Beaton, D., Bodfish, J. W. (2011). Adults with and without Autism Differ In Their Emotional Responses to Non-Social Images Related to Circumscribed Interests. Presented at International Meeting for Autism Research 2011, San Diego, CA.

Beaton, D., Abdi, H. (2010). Predicting behavior from genetics with correspondence analysis. Presented at the 43rd Annual Conference of the Society for Mathematical Psychology, Portland, OR. [PDF]

Beaton, D., Valova, I., & MacLean, D. (2009). Color Objects Distinction with TurSOM. Presented at the International Conference on Cognitive and Neural Systems, Boston, MA.

Keenan, B., Beaton, D., Le, V., Akbari, Y., Hee Lee, J., Parekh, T., Antes, T., et al. (2009). MicroRNA Profiling Can Distinguish Normal From Neoplastic Urothelium. Presented at the 78th Annual Meeting of the New England Section of the American Urological Association, DC.

Le, V., Juan, D., Beaton, D., Keenan, B., Akbari, Y., Hee Lee, J., Parekh, T., et al. (2009). Evaluating miRNA Expression Integrity in FFPE Samples with qRT-PCR by Using Patient-matched Formalin-fixed and Fresh-frozen Tissues from Renal Cell Carcinoma (RCC) Patients. Presented at the 78th Annual Meeting of the New England Section of the American Urological Association, Washington, DC.

Akbari, Y., Beaton, D., Keenan, B., Le, V., Parekh, T., Hee Lee, J., Antes, T., et al. (2009). Assessing the Potential of the Htert Cell Line as a Model of Normal Bladder Urothelium via Analysis of miRNA Expression. Presented at the 78th Annual Meeting of the New England Section of the American Urological Association, Washington, DC.

Unpublished/Not Refereed Abstracts & Posters

Levine, B., Bacopulos, A., Anderson, N.D., Black, S.E., Davidson, P.S.R., Fitneva, S.A., McAndrews, M.P., Spaniol, J., Jeyakumar, N., Abdi, H., Beaton, D., Owen, A.M., & Hampshire, A. (2013). Validation of a Novel Computerized Test Battery for Automated Testing. Poster presented at the 23rd Annual Neuroscience Conference: Brain Plasticity and Neurorehabilitation, March 2-4, 2013, Toronto, Ontario.

Beaton, D., Dunlop, J., Filbey, F. M., Abdi, H. (2012). Connecting Connectivity: A Brief Overview of Methods to Combine Multiple Data Types in Connectivity Analyses. Neural Computation 2012, Hanover, NH.

Beaton, D., Abdi, H., Dunlop, J., Krishnan, A., Buschbaum, B. (2011). An ExPosition into Neural Computation with the SVD in R. Neural Computation 2011, Hanover, NH. [PDF]

Beaton, D., Abdi, H. (2011). Partial Least Squares-Correspondence Analysis (PLS-CA): A New Method to Reveal Common Patterns in Measures of Memory and Genetics. Neuroscience of Stress and Memory Conference, Dallas, TX. [PDF]

Beaton, D., Abdi, H. (2011). Linking Genetics and Cognition with Partial-Least Squares and Correspondence Analysis: A Study of the ADNI Cohort. Dallas Aging and Cognition Conference, Dallas, TX. [PDF]

Beaton, D., Abdi, H. (2010). Integrating Partial-least Squares and Correspondence Analysis for Genetics-based Cognition Research. Presented at the Greater Dallas Human Brain Imaging Retreat, Dallas, TX. [PDF]

Dalton, S., Brookstein, A., Hegedus, S., & Beaton, D. (2009). Democratizing Access to Core Mathematics Across Grades 9-12: A Longitudinal Study. Presented at the Sigma Xi 2009, Poster, University of Massachusetts at Dartmouth.

Beaton, D., & Valova, I. (2005). Alzheimer's Detection with EEG and ICA. Presented at the Sigma Xi 2005, Poster, University of Massachusetts at Dartmouth.