Zhaoran (Eric) Hou PhD student Interests: Computational statistics, Bayesian methods Project: Protein structure prediction using sequential Monte Carlo An amateur photographer who is broke for camera lenses

Shiyu He PhD student Interests: Bayesian analysis, Spatial-temporal analysis Projects: Analysis of sequence and structure data for the COVID-19 spike protein; Prediction of flexural properties of lumber crossarms.

Yunfeng Yang PhD student, co-supervised with Martin Lysy Bayesian analysis of damage from proof-loading experiments Multimodel Bayesian inference of Load Duration Effects in Lumber Reliability

Mengxiao (Elinor) Wang MMath student Second year Masters student in biostatistics Development and application of statistical methods for public health Specific areas of interest include Bayesian analysis, causal inference and longitudinal data analysis Modelling the regional spread of COVID-19 and the effectiveness of physical distancing measures in Northern British Columbia using Bayesian methods

Wanlu Xu MMath student Evaluating the impact of knots on lumber grading rules with Bayesian spatial models

Zongjun Liu Research assistant Masters student specializing in Biostatistics at Queen's University 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 :)

Rongfeng Cui MMath student Data science applications

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

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 Current 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 Current 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 Current position: Product Analyst, Data Scientist @ Verily Life Sciences (Google)