Seminars

	A	B	C	D
1	Year	Talk	Where
2	2001	ESUP accept/reject sampling	NC State Statistics
3	2001	Monte Carlo exact conditional hypothesis tests for loglinear models	AT&T Labs, Florham Park, New Jersey
4	2001	Monte Carlo exact conditional hypothesis tests for loglinear models	Fifth Workshop on Groebner Bases and Statistics (GROSTAT V), Tulane University, New Orleans, Louisiana
5	2001	Monte Carlo exact conditional hypothesis tests for loglinear models	Johns Hopkins University Department of Biostatistics, Baltimore, Maryland
6	2001	Monte Carlo exact conditional hypothesis tests for loglinear models	University of Michigan Department of Statistics, Ann Arbor, Michigan
7	2001	Monte Carlo exact conditional hypothesis tests for loglinear models	Ohio State University Department of Statistics, Columbus, Ohio
8	2002	Model selection and fitting for empirical Bayes analysis of microarray data	JSM New York
9	2002	Ascent-based MCEM	Yale University Division of Biostatistics, New Haven, Connecticut
10	2002	ESUP accept/reject sampling	Johns Hopkins University Department of Biostatistics, Baltimore Maryland
11	2003	A tour of biostatistics	Drexel University Department of Mathematics, Philadelphia, Pennsylvania
12	2003	ESUP accept/reject sampling	Duke University Institute of Statistics and Decision Sciences, Durham, North Carolina
13	2003	Missing data and air pollution	Drexel University Department of Mathematics, Philadelphia, Pennsylvania
14	2003	Monte Carlo exact conditional hypothesis tests for loglinear models	Joint Statistical Meetings, San Francisco, California
15	2003	Monte Carlo exact conditional hypothesis tests for loglinear models	Statistics and Applied Mathematical Sciences Institute, Workshop on Exact Categorical Methods, Research Triangle Park, North Carolina
16	2004	Multilevel models with applications in genomics	University of Minnesota Department of Statistics, Minneapolis
17	2004	Ascent-based MCEM	Cornell University Department of Statistics, Ithaca, New York
18	2005	Ascent-based MCEM	Johns Hopkins University Department of Applied Math and Statistics, Baltimore, Maryland
19	2005	ESUP accept/reject sampling	Pennsylvania State Department of statistics, University, College Station, Pennsylvania
20	2005	Discussion of: characterizing experimentally induced neuronal processing by DuBois Bowman	Department of Biostatistics Grand Rounds, Johns Hopkins University, Department of Biostatistics
21	2005	Quantitative characterization of chloroquine and aspirin in the male genital tract	with Craig Hendrix, Johns Hopkins Division of Clinical Pharmacology, Baltimore, Maryland
22	2006	Ascent-based MCEM	Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania
23	2006	Is MRI based structure a mediator for lead’s effect on cognitive function	MICE meeting, Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, Maryland
24	2007	A Bayesian hierarchical framework for spatial modeling of fMRI data	Center for Statistics in the Social Sciences, University of Washington, Seattle, Washington
25	2007	A case study in pharmacologic imaging using single photon emission computed tomography	UMBC Prob/Stat Day, Baltimore, Maryland.
26	2007	Age, lead exposure and neuronal volume	ENAR, Atlanta, Georgia
27	2007	Statistical methods for indirect estimation of physiological parameters: case studies in viral kinetics}	Department of Statistics University of Minnesota, Minneapolis, Minnesota
28	2007	Statistical methods in functional medical imaging	Department of Biostatistics, University of Florida, Gainesville, Florida
29	2008	A Bayesian hierarchical framework for spatial modeling of fMRI data	Human Brain Mapping, Melbourne, Australia
30	2008	Conditional and marginal models for binary outcomes	Department of Statistics University of Minnesota, Minneapolis, Minnesota
31	2008	Lead exposure, neuronal volume and cognitive function	Department of Biostatistics University of Florida, Gainesville, Florida
32	2008	Non-linear curve fitting in the analysis of medical imaging data	Department of Biostatistics Grand Rounds, Johns Hopkins University, Baltimore, Maryland.
33	2008	Pharmacologic imaging using principal curves in single photon emission computed tomography	ENAR, Arlington, Virginia.
34	2008	Quantifying the hypnogram and sleep stage transitions: novel approaches and applications to sleep disorders	Annual Meeting of the Associated Professional Sleep Societies, Baltimore, Maryland
35	2008	Statistical methods for indirect estimation of physiological parameters: case studies in viral kinetics	Department of Biostatistics, Columbia University, New York, New York
36	2008	Statistical methods for indirect estimation of physiological parameters: case studies in viral kinetics	Department of Biostatistics, Emory University, Atlanta, Georgia
37	2008	Statistical methods for indirect estimation of physiological parameters: case studies in viral kinetics	Department of Biostatistics, Vanderbilt University, Nashville, Tennessee
38	2009	Non-linear curve fitting in the analysis of medical imaging data	Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland
39	2009	Non-linear curve fitting in the analysis of medical imaging data	University of Pittsburgh, Department of Biostatistics, Pittsburgh, Pennsylvania
40	2009	On the analysis of multiple sleep hypnograms	International Statistical Institute, Durban, South Africa
41	2009	Statistical methods for studying connectivity in the human brain	International Workshop on Statistical Modeling, Ithaca, New York
42	2010	Functional principal components for high dimensional brain volumetrics	International Workshop on Statistical Modeling, Glasgow, Scotland
43	2010	Statistical methods for evaluating connectivity in the human brain	ENAR, New Orleans, Louisiana
44	2010	Statistical methods for high dimensional imaging studies of populations	Department of Psychiatry and Behavioral Science, Johns Hopkins Bayview Medical Center, Baltimore, Maryland
45	2011	fMRI functional connectivity in subjects at high familial risk for Alzheimer's disease: new approaches to analysis	Dementia Consortium, Johns Hopkins, Baltimore, Maryland
46	2011	Indirect estimation of kinetic parameters in dual isotope single photon emission computed tomography studies of microbicide lubricants	ENAR, Miami, Florida
47	2011	Statistical methods for studying connectivity in the human brain	Division of Biostatistics, University of Maryland, Baltimore, Maryland
48	2011	Statistical methods for studying connectivity in the human brain	Department of Biostatistics, University of Washington, Seattle, Washington
49	2011	Statistical methods for studying connectivity in the human brain	Department of Statistics, Cornell University, Ithaca, New York
50	2011	Statistical methods for studying connectivity in the human brain	Dementia Consortium, Johns Hopkins, Baltimore, MD
51	2011	An overview of EEG research at Hopkins Biostatistics	Regional EEG/ERP Conference, Kennedy Krieger Institute, Baltimore, MD.
52	2011	Statistical methods for evaluating (human) brain connectivity	Statistical Methods for Very Large Data Sets Conference, Baltimore, MD.
53	2011	Statistical methods for studying connectivity in the human brain	The Brad Efron Honorary Symposium on Large-Scale Inference, Silver Springs, MD.
54	2011	Statistical methods for studying connectivity in the human brain	ISDS, Duke University, Durham, NC.
55	2012	Predicting neurological disorders using functional and structural brain imaging data	ENAR, Washington DC.
56	2012	Predicting neurological disorders using functional and structural brain imaging data	Department of Statistics, University of Virginia, Charlottesville, Va.
57	2012	Panelist at the 2012 NIH/NIBIB training grantee meeting	National Institutes of Health, Bethesda, MD.
58	2012	Statistical analysis of functional MRI resting state functional brain connectivity data	SAMSI opening workshop on massive data, Raleigh, NC.
59	2012	Statistical analysis of functional MRI resting state brain connectivity data	Departments of Statistics and Biostatistics, University of Wisconsin, Madison, Wisconsin
60	2012	Statistical analysis of functional MRI resting state brain connectivity data	Departments of Biostatistics, Yale University, New Haven, Connecticut.
61	2013	Homotopic group ICA for resting state fMRI	Talk given at SAMSI 2013
62	2013	Large scale decompositions for functional imaging studies	Talk given at ENAR 2013
63	2013	Measurement in medical imaging	Lecture given at the ICTR 2013
64	2013	Graphical models for analyzing resting state networks	Talk given at Penn visit
65	2012	Multimodal brain imaging studies for prediction	Talk given at JSM 2012 session 56
66	2012	A Bayesian Hierarchical Framework for Spatial Modeling of fMRI Data	Talk given at the ICSA in 2011
67	2012	The Center for Quantitative Neuroscience A core for population neuroanalytics and translational systems neuroscience	Talk given at the BSI
68	2013	graphical models for analyzing resting state networks	Talk given at KKI in August 2013
69	2013	Graphical models for analyzing resting state networks	Talk given with KKI and Berkeley
70	2013	Analyzing neurological disorders using functional and structural brain imaging data	Talk given at NYU
71	2013	Analyzing neurological disorders using functional and structural brain imaging data	Talk given at Microsoft Research
72	2013	Analyzing neurological disorders using functional and structural brain imaging data	Virginia Tech 2014
73	2014	Teaching statistics for the future The MOOC revolution and beyond	MOOC talk given at the Division of Biostat
74	2014	Developmental Disorders and Neuroimaging: Tools, Results and Issues	Talk given at ENAR 2014
75	2014	Teaching Statistics for the Future: the MOOC Revolution and Beyond	Talk given at Brown
76	2014	Teaching statistics for the future The MOOC revolution and beyond	Talk given at the University of Maryland
77	2014	Teaching statistics for the future The MOOC revolution and beyond	Dean's lecture giving at Johns Hopkins Bloomberg
78	2014	Teaching Statistics for the Future: The MOOC Revolution and Beyond	Talk given at Rochester
79	2014	Analyzing Neurological Disorders Using Functional and Structural Brain Imaging Data	Talk given at Duke ISBIS / SLDM meeting
80	2014	Statistical methods for the study of human brain functional connectivity	Talk given at JSM 2014
81	2014	Teaching statistics for the future: The MOOC revolution and beyond	Talk given at ISU
82	2015	Analyzing Neurological Disorders Using Functional and Structural Brain Imaging Data	Talk given at Penn
83	2015	Teaching statistics for the future: The MOOC revolution and beyond	Talk given at BME
84	2015	Discussion of: Statistical Quantitative Magnetic Resonance Imaging by Dr Taki Shinohara	Discussion of Dr. Shinohara's talk at JHU Biostat
85	2016	Bar Codes, Fingerprints and Reproducibility in Functional and Structural Brain Imaging Data	Talk given at the Maryland Imaging Retreat
86	2016	Barcodes, Fingerprints and Reproducibility in Functional and Structural Brain Imaging Data
87	2017	Links for R tutorial	MRICloud R tutorial
88	2017	Talk given at the malone center mix and mingle
89	2017	Executive data science	Talk given at the National Academy working group
90	2017	Radiology research day talk	Talk given at the JHU Radiology research day	File if needed
91	2017	Am I my connectome? Fingerprinting with repeated functional connectivity data	Talk given in Vigo
92	2017	Am I my connectome? Fingerprinting with repeated functional connectivity data	Talk given at JSM
93	2017	Am I my connectome? Fingerprinting with repeated functional connectivity data	Talk given at Michigan State
94	2017	Dimension reduction for complex biological phenomena	Talk given at the ASA Biopharm section
95	2017	Am I my connectome? Fingerprinting with repeated functional connectivity data	Talk given at the NIH
96	2017	SMART group and Data Science Lab
97	2018	Fingerprinting and reproducibility in resting state fMRI	Talk given at BME
98	2018	Student recruitment 2018	Student recruitment talk
99	2018	Is the doctor of the future goig to be a human, robot or cyborg?	Talk given at the Mayo Clinic
100	2018	Specialized AI in personalized medicine	Departmental retreat presentation