Dehan Kong

I am currently an associate professor in statistics at the University of Toronto. I received my B.S. in Mathematics from Nankai University in 2008, and my Ph.D. in Statistics from North Carolina State University in 2013. I was a postdoctoral fellow in the Department of Biostatistics at the University of North Carolina, Chapel Hill from 2013-2016.

My research aims to develop advanced data science tools and methodologies to handle large, complex, multi-scale real-world data. I work on topics including statistical machine learning, neuroimaging data analysis, statistical genetics and genomics, and causal inference. My research is being supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canadian Institutes of Health Research (CIHR), the University of Toronto’s Data Science Institute, Canadian Statistical Sciences Institute (CANSSI), CANSSI Ontario, and Mitacs. 

I am looking for students/postdocs with strong quantitative and/or computational background to join my research team

Department of Statistical Sciences

Department of Mathematical and Computational Sciences (Mississauga)

Department of Computer Science (cross-appointment)

University of Toronto

Email: dehan.kong@utoronto.ca

Office: Ontario Power Building 9076

Editorial Activities

Associate Editor, Journal of the American Statistical Association, A&CS, 2022-present

Guest Editor, Statistics in Biosciences (Special Issue on Machine Learning in Biomedical Sciences), 2022-2024

Associate Editor, Canadian Journal of Statistics, 2020-2021

Editorial Board Reviewer, Journal of Machine Learning Research, 2020-present