Yuliang Shi is a Ph.D. Candidate in Biostatistics at the University of À¶Ý®ÊÓƵ, supervised by Dr. Yeying ZhuÌý²¹²Ô»åÌýDr. Joel Dubin. Before that, he completed a master’s degree at the University of À¶Ý®ÊÓƵ specializing in Biostatistics and a bachelor’s degree in Applied Mathematics at the 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 . At that time, most of his works focused on survival analysis, longitudinal data analysis, and clinical trial design programmed on R (or SAS). After that, he continues working as a part-time research analyst at . Yuliang also worked as a statistical consultant at the Statistical Consulting and Collaborative Research Unit in 2022. He is a member of the Health Data Science Lab, the Statistical Society of Canada, the American Statistical Association, and the American Mathematical Society.
His research interests mainly focus on causal inference, missing data, and model selection.
