Chen, Jiahua Department of Statistics, Faculty of Science Faculty (G+PS eligible/member) Statistical theory and modeling; empirical likelihood; finite mixture model; sample survey; asymptotic theory; imputation
Lam, Tzeng Yih Department of Forest Resources Management, Faculty of Forestry Faculty (G+PS eligible/member) Quantitiative methods in forestry; Forestry management and environment; Statistical theory and modeling; Survey methodology and analysis; Bayesian Filtering; Forest Inventory; Growth and Yield; Sampling Theory; silviculture; Timber; Tree Measurement
McDonald, Daniel Department of Statistics, Faculty of Science Faculty (G+PS eligible/member) High dimensional data analysis; Computational methods in statistics; Statistical theory and modeling; Machine learning; Epidemiology (except nutritional and veterinary epidemiology); Methods and models for epidemiological forecasting; Estimation and quantification of prediction risk; Evaluating the predictive abilities of complex dependent data; Application of statistical learning techniques to time series prediction problems; Investigations of cross-validation and the bootstrap for risk estimation
Pleiss, Geoffrey Department of Statistics, Faculty of Science Faculty (G+PS eligible/member) Statistical theory and modeling; Machine learning; Computational methods in statistics; Spatial statistics; Numerical analysis; Machine Learning; neural networks; Gaussian processes; Bayesian optimization; reliable deep learning
Robeva, Elina Department of Mathematics, Faculty of Science Faculty (G+PS eligible/member) Statistical theory and modeling; Machine learning; Algebra; Algebraic statistics; Graphical Models; Tensor decomposition; Causality; Applied algebraic geometry; Shape-constrained density estimation; Tensor networks
Zumbo, Bruno Department of Educational & Counselling Psychology, and Special Education, Faculty of Education Faculty (G+PS eligible/member) Psychological methodology design and analysis, and psychometrics; Statistical theory and modeling; Educational assessment and evaluation; Psychometrics and Test Theory; Mathematical sciences of measurement; Latent Variable Models, Item Response Theory, Factor Analysis, Mixed models; Validity Theory and Validation; Multivariate Analysis
Nikola Surjanovic Student Doctor of Philosophy in Statistics (PhD) Scalable Bayesian Methods for Sampling From Complex Probability Distributions