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Statistical Consulting Service Members and Consultants


Faculty/Staff Members

Phil Chalmers, Department of Psychology


Rob Cribbie, Department of Psychology
Rob is a member of the Quantitative Methods area of the Department of Psychology. His research interests include equivalence testing, multiplicity control, robust ANOVA approaches, and the measurement of change. He has been a member of the Statistical Consulting Service since 2002.


Ji Yeh Choi, Department of Psychology


David Flora, Department of Psychology


Michael Friendly, Department of Psychology (https://github.com/friendly)
Michael is one of the founding members of SCS and a member of the Quantitative Methods area of the Psychology Department. His research  areas include graphical methods, generally & particularly for categorical and multivariate data and also the history of data visualization.


Xin Gao, Department of Mathematics and Statistics

Hugh McCague, Institute for Social Research
Hugh is a statistician at the Institute for Social Research and Statistical Consulting Service at York University. His work and research concentrate on applications of statistics in health and environmental studies, including the use of data at the Statistics Canada Research Data Centre at York University, as well as the on-going public health surveys of the Institute.



Kevin McGregor, Department of Mathematics and Statistics
Kevin is an Assistant Professor in York University’s Department of Mathematics and Statistics. His research interests include microbiome data analysis, statistical genetics, analysis of high-dimensional data, network analysis in microbiome data, and Bayesian statistical methods.


Georges Monette, Department of Mathematics and Statistics

Kelly Ramsay, Department of Mathematics and Statistics
Kelly’s research focuses on nonparametric and robust modelling tools for complex data



Xijuan (Cathy) Zhang, Department of Psychology




Graduate Student Members

Udi Alter, Department of Psychology
Udi is a PhD student in the Quantitative Methods program. His research focuses on equivalence testing, effect size, regression analyses, and multiplicity control. Udi is also passionate about teaching statistics, data science and visualization, and R/RStudio. 


Stephan Bonfield, Department of Psychology


Victoria Celio, Department of Psychology

Kevin Dang, Department of Kinesiology and Health Science.
Kevin Dang is a PhD student in the School of Kinesiology & Health Science

My Luu, Department of Mathematics and Statistics
My Luu is an MA student majoring in Statistics at York University. She currently provides consulting services for topics of ANOVA, Regression and R Programming


Naomi Martinez Gutierrez, Department of Psychology
Naomi is a PhD student within the Quantitative Methods (Psychology) Program


Chifeng Shen, Department of Mathematics and Statistics

Miranda Too, Department of Psychology
Miranda is a PhD student in Social and Personality Psychology


Michael Truong, Department of Psychology
Michael is a PhD student within the Quantitative Methods (Psychology) Program. He conducts research on the integration of machine learning and structural equation modeling; psychometric networks and latent variable modeling; and falsificatory data analysis. He also has training and interest in cognitive psychology and neuroscience, and is a developer for the R cSEM package. 

Jiacheng Wang, Department of Mathematics and Statistics
Jiacheng is a fourth-year PhD student (majoring in statistics) within the Department of Mathematics and Statistics at York University. Jiacheng currently works as a TA for the statistical consulting service. Jiacheng provides consulting services regarding the following topics: Regression, ANOVA, R Programming, Categorical Data Analysis.

Adam Zhong, Department of Mathematics and Statistics
Yuan (Adam) Zhong is a PhD student in Statistics from York University. His research interests center around computational statistics, multivariate analysis, and high-dimensional data analysis.

Vadim Tyuryaev, Department of Mathematics and Statistics
Vadim is a fifth-year PhD candidate in Statistics with extensive experience in both industry and academia. His expertise lies in the application of machine learning algorithms across diverse fields, including genetics, psychology, and epidemiology.
Chenyi Yu, Department of Mathematics and Statistics