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

Yuying Huang PhD student Interests: Computational statistics, Bayesian methods, Statistical applications Project: Boundary detection for seismic design of wood-frame buildings

Mingwei Xu PhD student, co-supervised with Peijun Sang

Cassandra Wong First Year MMath student in computational mathematics

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

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

Wanlu Xu MMath 2021 Essay title: Strength Prediction and Simulation for Grade Quality Assurance

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 :) Current 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 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)