CURRICULUM VITAE

UPDATED: 2019.JAN.15                                                        Google Scholar Page

Derek Beaton

Rotman Research Institute

Baycrest Health Sciences

3560 Bathurst Street

Toronto, Ontario

Canada M6A 2E1

http://www.derekbeaton.com


Education & Training

(Post-doc) Rotman Research Institute, Baycrest Health Sciences. Aug. 2016-present.

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, factor analyses, genetics/genomics, neurological and psychiatric disorders, neuroimaging, bioinformatics, image processing/analysis, artificial intelligence, data mining, machine learning.


Publications

Journal Articles

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

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

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.

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.

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)

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)

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)

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

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

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

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

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

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., 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.

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.

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.

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 (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

Refereed Abstracts

Filbey, F. M., Beaton, D., Prasad, S. (2018). Interaction of Cannabinoid Receptor Genes and Stress on Neural Responsivity to Reward Cues. To be 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.


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

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

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/ExPosition/index.html or http://code.google.com/p/exposition-family/source/browse/#svn%2FPackages

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 

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 

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

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 

R packages (in development)

ExPosition 2 (a.k.a. SlimPosition): https://github.com/derekbeaton/ExPosition-Family/tree/master/ExPosition2/SlimPosition

Generalized SVD: https://github.com/derekbeaton/ExPosition-Family/tree/master/ExPosition2/GSVD

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

MARINeR: Multivariate Analyses and Resampling Inference for Neuroimaging in R: https://github.com/derekbeaton/MARINeR

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


Awards

Funding

2016-present

        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. 

Invited Guest: Department of Psychology, University of Chester

Invited guest on behalf of Dr. Ljubica Damjanovic (Santander Visiting Fellowship Award).

March 08-16, 2014 -- CANCELLED due to funding limitations.

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

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

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.

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.


Professional Relationships and Duties

Committees

Ad-hoc Reviewer

Member

Mentorship

Public service

Outreach

Wikipedia


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

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

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

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

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

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

2017

2016

2015

2014

2013

2012

2011

2010

2009

2007

2006

2005

2004


Relevant Courses Taken

Graduate

Undergraduate