Dr. Depeng Jiang is an associate professor in Biostatistics in the Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences at the University of Manitoba. He also leads the Biostatistics Group in the data science platform of George and Fay Yee Center of Healthcare Innovation (CHI).

Dr. Jiang has worked as a PhD statistician at St Michael’s Hospital (2007-2010), LaMarsh Centre for Child & Youth Research at York University (2004-2017). He has well-established relationship through years of collaboration with multidisciplinary researchers and policy-makers. He has consolidated and made available his program of research to local, national and international venues, while providing training on advanced statistical methods for students, researchers and faculty members from different subject area. Application of these statistical methods has not only provided the necessary evidence to support decision making, but also significantly increased researchers and trainees’ chances of success in journal publications and grant competition, as well as transformed their abilities to do research.

Education and Training

• PhD in Systems Engineering (2001) and MSc in Applied Statistics (1991) from the Southeast University
• Visiting scholar at Department of Economics at Johns Hopkins University (1998-1999).
• Postdoctoral fellow at the Department of Psychology at York University (2002-2004) under the supervision of Dr. Debra Pepler; and at the School of Management and Engineering at Nanjing University under the supervision of Dr. Zhaohan Sheng (2001-2002).

Area of Interest

Dr. Jiang’s research focus is to develop biostatistics methods and promote the use of advanced statistical methods for health service research and program evaluation. His research interests include: (1) longitudinal data analysis and multilevel models; (2) person-oriented statistical approaches (e. g., latent class analysis and growth mixture models); (3) structural equation models; (4) clinical trial design and impact evaluation.