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Research Team

Current students

Yuying Huang
PhD student

  • Interests: Computational statistics, Bayesian methods, Statistical applications
  • Project: Sequential Algorithms for Metamodeling of Computer Simulations, Seismic design of wood-frame buildings
  • Yuxuan Zhao
    PhD student

  • Interests: Dynamic systems, Bayesian methods
  • Project: Extensions of Manifold-Constrained Gaussian Process Inference for Differential Equation Models
  • 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
  • Morgan Kurth
    MMath student in Statistics

  • Interests: Impact of Player Interactions on NHL Forward Line Performance
  • Alumni

    Mingwei Xu
    PhD 2025, co-supervised with Peijun Sang

  • Dissertation: Bayesian Integral-based Methods for Differential Equation Models
  • Shiyu He
    PhD 2025

  • Interests: Bayesian analysis, Spatial-temporal analysis
  • Dissertation: Spatio-temporal methods for applications in biological and environmental studies
  • 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

    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.
  • 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)