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Reserach Associates

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Postdoctoral Fellows

  • Ismaila Ba, Ph.D., CANSSI Distinguished Postdoctoral Fellow (co-supervise with Max Tuegeon and Kevin McGregor (York), 2022 - 2024.

  • Holly Steeves, Ph.D. (co-supervise with Laura Cowen (UVictoria) and Simon Bonner (Western), 2020 - 2022.   

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Current Graduate Students

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Former Graduate Students

  • Tessa Reimer (M.Sc., 2024, co-supervised with Alex Leblanc)

        Thesis: Bayesian Inference On Baseball Batting Metrics Using Nested Dirichlet Multinomial Models.

       Project: Predicting the Outcome of a Chess Game Using the Random Forest and Support Vector Machine
      Algorithms.

Thesis: Bayesian Analysis of Data Arising from Children with Cerebral Palsy using Computerized Rehabilitation  Devices.

        Thesis: Bayesian Analysis of Dolly Varden Mark-recapture Data in Canadian Arctic.

Thesis: Bayesian Modeling and Simulation Methods for Fish Movements.

  • Ankit Doshi (Ph.D., 2022, co-supervisor: Brad Johnson) 

        Thesis: Simulation and Modeling of Networks Targeting Graph Attributes and Structures.

       Thesis: Investigating the Plasticity of Migration Timing and Roost Behaviours to Environmental Variability and            Parental Care in a Colonial Songbird.

        Thesis: Markov Chain Monte Carlo Synthetic Data Generation From Casino Slot Floor Event Data.

  • Qiao Tang (M.Sc., 2021, co-supervisor: Xikui Wang)

        Thesis: Comparison of Count Model Predictions Using Bayesian Methods with A COVID-19 Application.

  • Samuel Morrissette (M.Sc., 2021, co-supervisor: Jason Fiege)

        Thesis: Assessing Behaviour of Casino Patrons Using Clustering Methods.

  • Ashani Wickramasinghe (M.Sc., 2021)
    Thesis: Community Detection in Social Networks with an Application to Covid-19 Data.

  • Surani Matharaarachchi (M.Sc., 2021 - co-supervisor: Mike Domaratzki)
    Thesis: Assessing Feature Selection Methods and Their Performance in High Dimensional Classification Problems.

  • Lahiru Wickramasinghe (Ph.D., 2021, co-supervisor: Alex Leblanc)

       Thesis: Estimation of Sparse Multinomial Cell Probabilities.

  • Laurence Cuny (M.Sc., 2020 co-supervisor: Katherine Davies)

       Thesis: Order Restricted Bayesian Inference of the Simple Step-Stress Model under Type-I Right

        Censoring with Weibull Distributed Lifetimes.

        Thesis: Modeling and Simulation of Mobile Apps User Behavior.

       Thesis: Novel statistical designs for phase I clinical trials.

       Thesis: Network Meta-Analysis Using Bayesian Methods and Some Diagnostics.

  • Inesh Munaweera (M.Sc., 2018, co-supervisor: M. Jafari Jozani)
    Thesis: Shrinkage Estimators under Generalized Garrote and Linex Loss Functions for Regression Analysis.

  • Lahiru Wickramasinghe (M.Sc., 2015)

       Thesis: Non-Inferiority Hypothesis Testing in Two-Arm Trials with Log-normal Data.

  • Peng Zhang (M.Sc., 2014)
    Project: Social Network Analysis using Exponential Random Graph Models.

  • Cynthia Kpekpena (M.Sc., 2014)
    Thesis: Bayesian Analysis of Binary and Count Data in Two-arm Trials.

  • Jing Zhang (M.Sc., 2012)
    Project: Bayesian Methods for Modeling and Analyzing Item Response Data.

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Former Undergraduate Students

  • Evan Proskin, NSERC Undergraduate Student Research Award, Summer 2019.
    Project: Spatial Patterns of Nest Success and Long Term Population Decline Analysis of Purple Martin.

  • Laura Vandenberg, Undergraduate Student Research, Summer 2019.
    Project: App User Behaviour and Retention Analysis.

  • Takunda Taimu, Undergraduate Student Research, Summer 2019.
    Project:     Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models on Soccer Data. 

  • Max Piche, Undergraduate Student Research, Summer 2019.
    Project: Predictive Analysis of Murple Martin Nest Productivity.

  • Keren Chheang, Undergraduate Student Research, Summer 2018.
    Project: Bayesian Inference and text modelling using R.

  • Laura Vandenberg, Undergraduate Student Research, Summer 2018.
    Project: Analyzing Facebook Friendships through Social Network Models.

  • Yunfeng Yang, Mitacs Globalink Undergraduate Student Research, Summer 2018.
    Project: Assessing ERGM Models and Goodness of fit using Simulations.

  • Alina Rak, Mitacs Globalink Undergraduate Student Research, Summer 2018.
    Project: Bayesian Network Analysis of ecological data.

  • Gao Han, Mitacs Globalink Undergraduate Student Research, Summer 2017.
    Project: Assessing Algorithms for Structure Learning in Bayesian Networks.

  • Coral McCuen, Undergraduate Student Research, Summer 2017.
    Project: Inferring the Sampling Distributions of the Estimators of Regression Models Using Simulation Based Methods.

  • Ninad Khargonkar, Mitacs Globalink Undergraduate Student Research, Summer 2016.
    Project: Modeling and Simulation of Euro Cup Matches.

  • Xiuxiu You, Undergraduate Student Research, Summer 2016.
    Project: Text Classification Methods and their Applications.

  • Neha Singh, Mitacs Globalink Undergraduate Student Research, Summer 2015.
    Project: A Social Network Analysis using Latent Dirichlet Allocation.

  • Shaun Mcdonald, Undergraduate Student Research, Summer/Fall 2015.
    Project: Bayesian methods for remote estimation of under-ice algal biomass in the Canadian Arctic.

  • Xuejing Jiang, Undergraduate Student Research, Summer 2015 (with Saumen Mandal).
    Project: Fixed and random effects models in one-way classified data.

  • David Martell, Mitacs Globalink Undergraduate Student Research, Summer 2014.
    Project: A Bayesian Method for Meta-Analysis with Applications to Multi Arm Trials with Binary Outcomes.

  • Lidan Zhang, Mitacs Globalink Undergraduate Student Research, Summer 2013.
    Project: A Comparison Between Item Response Models.

  • Gabi Rodrigues, Science without Borders Undergraduate Student Research, Summer 2013.
    Project: Statistical Analysis of Clinical Trials Data with Binary Outcomes.

  • Justin Daman, Undergraduate Student Research, Summer 2013.
    Project: Statistical Modelling and Simulation of Outcomes of NBA & NHL Seasons.

  • Jingsha Yuan, Undergraduate Student Research, Summer 2012.
    Project: Properties of Estimators in Bayesian Regression Models: A Simulation Study.

  • Creagh Dyson Briercliffe, Undergraduate Student Research, Summer 2012 (with Theo Koulis).
    Project: A Bayesian Stochastic Model for Batting Performance Evaluation in One-day Cricket.

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