Reserach Associates
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Nalantha Wanasundara, Ph.D., 2022 - 2024.
Postdoctoral Fellows
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Ismaila Ba, Ph.D., CANSSI Distinguished Postdoctoral Fellow (co-supervise with Max Tuegeon and Kevin McGregor (York), 2022 - 2024.
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Holly Steeves, Ph.D. (co-supervise with Laura Cowen (UVictoria) and Simon Bonner (Western), 2020 - 2022.
Current Graduate Students
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Thimani Ranathungage (Ph.D., Current)
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Dhanushka Manjula (M.Sc., Current, co-supervise with Parimala Thulasiraman)
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Harshani De Silva (Ph.D., Current, co-supervise with Narendra Malalgoda)
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Nayanthi Karunanayake (Ph.D., Current)
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Arjun Banik (Ph.D., Current, co-supervise with Laura Cowen at UVictoria)
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Mary Taiwo (Ph.D., Current, co-supervise with Cuneyt Akcora)
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Elham Afzali (Ph.D., Current, co-supervise with Liqun Wang)
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Samuel Morrissette (Ph.D., Current)
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Nasim Feizinazhadgheshlaghi (M.Sc., Current)
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Surani Matharaarachchi (Ph.D., Current, co-supervise with Mike Domaratzki)
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Ashani Wickramasinghe (Ph.D., Current)
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Adriana-Stefania Ciupeanu (Ph.D., Current, co-supervise with Julien Arino)
Former Graduate Students
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Tessa Reimer (M.Sc., 2024, co-supervised with Alex Leblanc)
Thesis: Bayesian Inference On Baseball Batting Metrics Using Nested Dirichlet Multinomial Models.
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Ryne Swift (M.Sc., 2024)
Project: Predicting the Outcome of a Chess Game Using the Random Forest and Support Vector Machine
Algorithms.
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Harshani De Silva (M.Sc., 2023)
Thesis: Bayesian Analysis of Data Arising from Children with Cerebral Palsy using Computerized Rehabilitation Devices.
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Jinxin Yuan (M.Sc., 2023)
Thesis: Bayesian Analysis of Dolly Varden Mark-recapture Data in Canadian Arctic.
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Inesh Munaweera (Ph.D., 2023, co-supervisor: Darren Gillis)
Thesis: Bayesian Modeling and Simulation Methods for Fish Movements.
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Ankit Doshi (Ph.D., 2022, co-supervisor: Brad Johnson)
Thesis: Simulation and Modeling of Networks Targeting Graph Attributes and Structures.
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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.
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Courtney Bonner (M.Sc., 2022)
Thesis: Markov Chain Monte Carlo Synthetic Data Generation From Casino Slot Floor Event Data.
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Qiao Tang (M.Sc., 2021, co-supervisor: Xikui Wang)
Thesis: Comparison of Count Model Predictions Using Bayesian Methods with A COVID-19 Application.
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Samuel Morrissette (M.Sc., 2021, co-supervisor: Jason Fiege)
Thesis: Assessing Behaviour of Casino Patrons Using Clustering Methods.
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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.
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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.
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Isuru Dharmasena (M.Sc., 2020)
Thesis: Modeling and Simulation of Mobile Apps User Behavior.
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Weijia Zhang (Ph.D., 2019, co-supervisor: Po Yang)
Thesis: Novel statistical designs for phase I clinical trials.
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Mohammed Mujaab Kamso (M.Sc., 2018, co-supervisor: Saumen Mandal)
Thesis: Network Meta-Analysis Using Bayesian Methods and Some Diagnostics.
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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.
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Peng Zhang (M.Sc., 2014)
Project: Social Network Analysis using Exponential Random Graph Models.
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Cynthia Kpekpena (M.Sc., 2014)
Thesis: Bayesian Analysis of Binary and Count Data in Two-arm Trials.
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Jing Zhang (M.Sc., 2012)
Project: Bayesian Methods for Modeling and Analyzing Item Response Data.
Former Undergraduate Students
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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.
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Ninad Khargonkar, Mitacs Globalink Undergraduate Student Research, Summer 2016.
Project: Modeling and Simulation of Euro Cup Matches.
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Xiuxiu You, Undergraduate Student Research, Summer 2016.
Project: Text Classification Methods and their Applications.
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Neha Singh, Mitacs Globalink Undergraduate Student Research, Summer 2015.
Project: A Social Network Analysis using Latent Dirichlet Allocation.
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Shaun Mcdonald, Undergraduate Student Research, Summer/Fall 2015.
Project: Bayesian methods for remote estimation of under-ice algal biomass in the Canadian Arctic.
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Xuejing Jiang, Undergraduate Student Research, Summer 2015 (with Saumen Mandal).
Project: Fixed and random effects models in one-way classified data.
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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.
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Lidan Zhang, Mitacs Globalink Undergraduate Student Research, Summer 2013.
Project: A Comparison Between Item Response Models.
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Gabi Rodrigues, Science without Borders Undergraduate Student Research, Summer 2013.
Project: Statistical Analysis of Clinical Trials Data with Binary Outcomes.
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Justin Daman, Undergraduate Student Research, Summer 2013.
Project: Statistical Modelling and Simulation of Outcomes of NBA & NHL Seasons.
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Jingsha Yuan, Undergraduate Student Research, Summer 2012.
Project: Properties of Estimators in Bayesian Regression Models: A Simulation Study.
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Creagh Dyson Briercliffe, Undergraduate Student Research, Summer 2012 (with Theo Koulis).
Project: A Bayesian Stochastic Model for Batting Performance Evaluation in One-day Cricket.