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.
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