Current Graduate Students

​

• Samuel Morrissette (M.Sc., Current, co-supervise with Jason Fiege)

• Courtney Bonner (M.Sc., Current)

• Surani Mathara Arachchige (M.Sc., Current, co-supervise with Mike Domaratzki)

• Ashani Wickramasinghe (M.Sc., Current)

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

• Qiao Tang (M.Sc., Current, co-supervise with Xikui Wang)

• Laurence Cuny (M.Sc., Current, co-supervise with Katherine Davies)

• Isuru Dharmasena (M.Sc., Current)

• Inesh Munaweera (Ph.D., Current, co-supervise with Darren Gillis)

• Lahiru Wickramasinghe (Ph.D., Current, co-supervise with Alex Leblanc).

• Ankit Doshi (Ph.D., Current, co-supervise with Brad Johnson).

​

Former Graduate Students

​

• Weijia Zhang (Ph.D., 2019, co-supervised with Po Yang).

       Thesis: Novel statistical designs for phase I clinical trials.

• Mohammed Mujaab Kamso (M.Sc., 2018, co-supervised with Saumen Mandal).

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

• Inesh Munaweera (M.Sc., 2018, co-supervised with 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.

​