Current and Past Trainees:

Trainee Level	Completed	In Progress	Total
Undergraduate	8	0	8
Masters	13	3	16
PhD	4	3	7
Postdoctoral Fellow	2	0	2
Total	27	6	33

Undergraduate:

Name	Research Topic	Year Completed	First or Last Known Position
Robyn Bates, Co-supervised with Bill Reed	An exploration of Bayesian methods for the generalized normal-Laplace distribution	2006	PhD student, University of Utah, Salt Lake City
Philip Rempel	Exploring model misspecification and robustness in joint models for longitudinal and survival data.	2007	Not Known
Eric Cormier	Exploring Markov models for longitudinal binary data	2009	Assistant Teaching Professor, Mathematics and Statistics, UVic
Elena Szefer	Statistical Approaches for Combining Group Analysis and Registration of MR Images	2012	Biostatistician, The EMMES Corporation
Robin Spilette, Co-supervised with Naznin Virji-Babul	Graph theoretic analysis of EEG data	2014	Law Student, University of Toronto
Robyn Kilshaw, Co-supervised with Mike Masson	Bayesian Within-Subject Credible Intervals for Repeated Measures Designs	2018	PhD student, University of Utah, Salt Lake City
Cole Sibbald, Co-supervised with Nishant Mehta	Differential Privacy Techniques in Stacked Generalization	2020	Unknown
Kush Manek, Co-supervised with Michelle Miranda	Analysis of mobile EEG data and mild cognitive impairment	2023	Unknown

Graduate MSc:

Name	Research Topic	Year Completed	First or Last Known Position
Hong Li	Spatio-temporal modeling of fire frequency and severity from panel data.  Research award: Best poster award - 19th Annual Conference of The International Environmetrics Society, 2008.	2008	Statistician, Health Canada
Aijun Yang	Modeling survival after myocardial infarction using accelerated failure time models and space-varying regression.	2009	Statistician, Health Canada
Parminder Sarohia	A study of desperation in sport.	2010	Actuarial Position, Mercer, Vancouver
Salimah Ismail	Mixed model and space-varying regression analysis of Magnetoencephalography  brain signals. Research award: Best student research presentation - 40th Annual Meeting of the Statistical Society of Canada, 2012.	2012	Unknown
Susan Kinniburgh	Spatial and Network models for the spread of disease.	2012	Regular Faculty Member, Mathematics and Statistics, Camosun College, Victoria
Priya Grewal	Spatial smoothing and ecological regression analysis of low birth weight in British Columbia.	2012	Unknown
Veronica Sabelnykova, Co-supervised with Mary Lesperance	Bayesian Methods for Joint Modeling of Survival and Longitudinal Data: Applications and Computing	2012	Statistician, Ontario Institute for Cancer Research, Toronto
Keelin Greenlaw, Co-supervised with Mary Lesperance	Bayesian group-sparse multi-task regression for imaging genomics. Research award: CANSSI-sponsored best paper award - Statistical Society of Canada Student Meeting, 2015.	2015	Statistician, Lady Davis Institute for Medical Research, Montreal
Nicole Croteau	Persistent homology for MEG/EEG classification with application to brain decoding.	2015	Statistical Consultant, UVic Statistical Consulting Centre
Nancy Guo	Spatial Analysis of the Tumor Microenvirnment	2021	Senior Data Scientist at NielsenIQ Shanghai office
Zhengxiao Wei, Co-supervised with Mike Masson	Investigating the Relationship Between the Bayes Factor and the Separation of Credible Intervals for Within-Subject Designs.	2022	Research Associate, UVIC
Ziyi Lyu	Investigating the relationship between Bayes factors and highest density intervals.	2023	Unknown
Fabiha Binte Farooq	External student from Economics working as an RA on a cancer imaging study (I am not the formal supervisor for her degree in economics)	2021	PhD student, Simon Fraser University
Shreena Kalaria, Co-supervised with Brad Nelson	Patterns of Tumour and Immune System Adaptation and Function in Ovarian Cancer: Creating Gene Expression Maps with Spatial Transcriptomics and Spatial Statistics	In Progress
Flora Liu, Co-supervised with Brad Nelson	Statistical Inference on Heavy/Light Chain Pairing for B Cell Clonal Families	In Progress
Farbod Esmaeili (Interim Supervisor)	TBD	In Progress

Name	Research Topic	Year Completed	First or Last Known Position
Angus Argyle	Species Richness Estimation	2012	Statistician, Statistics Canada, Ottawa
Ming Teng, Co-supervised with Timothy Johnson	Bayesian Computation for Spatial Data and Neuroimaging Data	2017	Statistician, Morgan Stanley, New York
Yin Song	Statistical Methods for Neuroimaging Data Analysis and Cognitive Science	2019	Data Scientist, Tutela
Eugene Opoku, Co-supervised with Ejaz Ahmed	Methods for imaging Data and imaging genetics	2021	Methodologist, Statistics Canada
Aijun Yang, Co-supervised with Julian Lum	Survival Modelling with Multiple Discrete Surrogates with Application to Ovarian Cancer	In Progress
Yasaman Shahoseni, Co-supervised with Michelle Miranda	Integration of cortical surface fMRI and MEG to estimate brain functional connectivity with application to the Human Connectome Project	In Progress
Shibai Zhang, Co-supervised with Mark Lewis	Bayesian or likelihood-free inference on continuous-time animal movement modelling	In Progress

Postdoctoral Fellow:

Name	Research Topic	Year Completed	First or Last Known Position
Li Xing(NSERC and UVic PDF)	Regression for Longitudinal Analysis in Imaging Genetics with Bayesian Shrinkage Priors	2019	Assistant Professor, University of Saskatchewan
Cedric Beulac (CANSSI Distinguished PDF, Co-supervised with Jiguo Cao and Faisal Beg)	Genetic Correlates of Alzheimers Disease Subtypes	2022	Assistant Professor, Universite du Quebec a Montreal

 

Research Associate:

Name	Research Topic	Year Completed	First or Last Known Position
Susan Kinniburgh, Co-supervised with Trisalyn Nelson (Geography)	High-dimensional analysis for predictive crime mapping	2014	Regular Faculty Member, Mathematics and Statistics, Camosun College
Nicole Croteau, Co-supervised with Trisalyn Nelson (Geography)	Machine learning for forecasting expected hydrological runoff	2016	Statistical Consultant, UVic Statistical Consulting Centre
Yin Song	Joint Analysis of empirical and computer model generated fMRI data	2019	Data Scientist, Tutela