Reserach Associates

• Nalantha Wanasundara, Ph.D., 2022 - 2024.

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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

• Thimani Ranathungage (Ph.D., Current)

• Dhanushka Manjula (M.Sc., Current, co-supervise with Parimala Thulasiraman)

• Harshani De Silva (Ph.D., Current, co-supervise with Narendra Malalgoda)

• Nayanthi Karunanayake (Ph.D., Current)

• Arjun Banik (Ph.D., Current, co-supervise with Laura Cowen at UVictoria)

• Mary Taiwo (Ph.D., Current, co-supervise with Cuneyt Akcora)

• Elham Afzali (Ph.D., Current, co-supervise with Liqun Wang)

• Samuel Morrissette (Ph.D., Current)

• Nasim Feizinazhadgheshlaghi (M.Sc., Current)

• Surani Matharaarachchi (Ph.D., Current, co-supervise with Mike Domaratzki)

• Ashani Wickramasinghe (Ph.D., Current)

• Adriana-Stefania Ciupeanu (Ph.D., Current, co-supervise with Julien Arino)

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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.

• Ryne Swift (M.Sc., 2024)

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

• Harshani De Silva (M.Sc., 2023)

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

• Jinxin Yuan (M.Sc., 2023)

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

• Inesh Munaweera (Ph.D., 2023, co-supervisor: Darren Gillis)

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.

• Christophe Turcotte-van de Rydt (M.Sc., 2022, co-supervisor: Kevin Fraser)

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

• Courtney Bonner (M.Sc., 2022)

        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.

• Isuru Dharmasena (M.Sc., 2020)

        Thesis: Modeling and Simulation of Mobile Apps User Behavior.

• Weijia Zhang (Ph.D., 2019, co-supervisor: Po Yang)

       Thesis: Novel statistical designs for phase I clinical trials.

• Mohammed Mujaab Kamso (M.Sc., 2018, co-supervisor: Saumen Mandal)

       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.