David Awosoga PhD student Interests: Sports Analytics, Spatiotemporal Data Analysis, Bayesian Modelling Project: Sequential Decision Making Under Uncertainty in Volleyball

Tyler Verhaar PhD student Masters thesis: Online Likelihood-free Inference for Markov State-Space Models Using Sequential Monte Carlo

Yichen Huang PhD student Interests: Bayesian empirical likelihood for financial econometric models

Zhirui Chu PhD student Interests: Bridging connections between statistics and dynamical systems Turning my bank account into a camera store, all for that one halfway-decent shot

Craig Wilkinson MMath student (Data Science)

Yushi Liu MMath student (Data Science) Interests: Machine Learning and Functional Data Analysis

Vansh Sethi MMath student (Computational Mathematics)

Sahil Kabir MMath student (Computational Mathematics) Interests: Machine Learning Methodology, Computational Biology PRs: +55lbs x5 weighted pull-ups, 3x handstand push-ups (freestanding)

Yuying Huang PhD 2026 Interests: Computational statistics, Bayesian methods, Statistical applications Dissertation: Sequential Design and Metamodeling for Computer Experiments Current position: Senior Quantitative Analyst, CIBC

Yuxuan Zhao PhD 2026 Interests: Dynamic systems, Bayesian methods Dissertation: Parameter Inference and Model Selection for Differential Equation Models with Applications Current position: Manager, Enterprise Model Risk Management, RBC

Mingwei Xu PhD 2025, co-supervised with Peijun Sang Dissertation: Bayesian Integral-based Methods for Differential Equation Models Current position: Manager, Enterprise Stress Testing, Scotiabank

Shiyu He PhD 2025 Interests: Bayesian analysis, Spatial-temporal analysis Dissertation: Spatio-temporal methods for applications in biological and environmental studies Current position: Postdoctoral researcher, Department of Epidemiology and Biostatistics, McGill University

Yunfeng Yang PhD 2025, co-supervised with Martin Lysy Dissertation: Statistical Analyses of Lumber Strength Properties and a LikelihoodFree Method using Empirical Likelihood

Zhaoran (Eric) Hou PhD 2024 Interests: Computational statistics, Bayesian methods Dissertation: Sequential Monte Carlo for Applications in Structural Biology, Financial Time Series and Epidemiology An amateur photographer who is broke for camera lenses Current position: Senior Quantitative Analyst, CIBC

Saptarshi Chakraborty Ph.D. 2018, co-supervised with Kshitij Khare Markov Chain Monte Carlo applications and computational methods. Bayesian analysis of coupled cellular and nuclear trajectories for cell migration BAMBI: An R package for Fitting Bivariate Angular Mixture Models Circular correlation coefficients for bivariate von Mises distributions on a torus Current position: Assistant Professor of Biostatistics, State University of New York at Buffalo

Valerie Zhu MMath 2026 Essay title: Stability and Reliability of Nonlinear Least-Squares Parameter Estimates Across Dynamical Regimes

Morgan Kurth MMath 2026 Interests: Impact of Player Interactions on NHL Forward Line Performance Essay title: Identifying Power Play Shooting Tendencies in the NHL: A Conditional Mixture of Log-Gaussian Cox Processes

Cassandra Wong MMath 2023 in computational mathematics Essay title: Molecular Dynamics Analysis of the Conformational Flexibility of Loops in the SARS-CoV2 Spike Protein

Mengxiao (Elinor) Wang MMath 2021 Essay title: COVID-19 in British Columbia: Modelling regional spread and the impact of physical distancing measures. Current position: Statistical Programmer, Labcorp

Wanlu Xu MMath 2021 Essay title: Strength Prediction and Simulation for Grade Quality Assurance Current position: Software QA Analyst @ Varicent

Zongjun Liu Research assistant 2019-2021 Protein structure energy models with application to the coronavirus Spike protein R package abcADM: Fit Accumulated Damage Models and Estimate Reliability using Approximate Bayesian Computation Reddit is gold :) First position: PhD student in Medical Biophysics at U of Toronto.

Shuxian Fan Graduate research assistant 2019-2020, co-supervised with Jim Zidek Characterizing Uncertainty through Bayesian Hierarchical Models in Structural Engineering: New Approaches for Characterizing the Tensile Strength of Lumber Based on a Spatial Distribution of Knots First position: PhD student in Statistics, University of Washington

Katherine Kempfert Undergraduate research assistant 2017-2019 Projects: Composer classification of Mozart and Haydn string quartets Nonlinear Dimension Reduction Methods with Kernel Variations First position: PhD student in Statistics, University of California Berkeley

Megan Hazlett Undergraduate research assistant 2017-2018 Education: MS Analytics @ Northwestern University; BS Statistics @ University of Florida Project: compas - An R package for Conformational Manipulations of Protein Atomic Structures Exploring the relationship between seasons and music listening habits First position: Product Analyst, Data Scientist @ Verily Life Sciences (Google)