Yuliang Shi is currently a Ph.D. Student in Biostatistics at the University of Waterloo, supervised by Dr. Yeying Zhu and Dr. Joel Dubin. Before that, he completed a master’s degree at the University of Waterloo specializing in Biostatistics, and a bachelor’s degree in Applied Mathematics at Beijing University of Technology.

As a Biostatistician, he attended the Co-op program at the Princess Margaret Cancer Centre from May 2020 to April 2021, supervised by Dr. Wei Xu. At that time, most of his works focused on survival analysis and genetic data analysis programmed on R and LINUX. After that, Yuliang worked as a statistical consultant at the Statistical Consulting and Collaborative Research Unit in 2022 and also worked as a teaching assistant for more than 2 years. He is a member of the Health Data Science Lab at the University of Waterloo and a member of the Statistical Society of Canada.

His research interests focus on causal inference on complex missing data and survival analysis. He is currently working on the project about using the weighted likelihood approach to develop robust estimation and to account for the issue of missing data.