I am an assistant professor in the Department of Statistics, University of Manitoba. My main research interest is developing Bayesian and statistical computational methods. I have focused on Bayesian mixture and latent variable models that involve nontrivial computational challenges. These methods are motivated by problems arising from capture-recapture, sports, ordinal surveys, clinical trials and network data. I’m also in the process of developing and applying nonparametric Bayesian models to clinical trials in collaboration with the FDA. These projects involve developing statistical methods for assessing noninferiority in multi-arm clinical trials, calculating effective sample sizes and also combining results of multiple clinical trials.
My duties also include teaching, graduate student supervision and service to the department and wider university community. My teaching and student supervision philosophy is simple and based on my own experiences and expectations as a student. I believe that student achievement in a course is based on the student’s effort and the effort of the teacher as well.
The training and experience I received during my time in the SFU Department of Statistics and Actuarial Science has been important for my career. The department is a wonderful place to be both as a student and as a stepping stone to building a future career. The spirited faculty provide an inspiring learning environment and the staff memebers are always available for assistance. Departmental social events, like Hallowe'en and Christmas parties, build a strong social network as well. At the end of your studies, you feel that you are leaving your family... but for a promising future.