معرفی
Dehan Kong is an Associate Professor in the Department of Statistical Sciences at the University of Toronto, with cross-appointments to the Department of Mathematical & Computational Sciences (University of Toronto Mississauga) and the Department of Computer Science. His research focuses on developing advanced data science tools for analyzing large, complex, multi-scale real-world data.
- Fields of Interest: Statistical Machine Learning, Neuroimaging Data Analysis, High Dimensional Data Analysis, Functional Data Analysis, Statistical Genetics, Causal Inference
- Awards:
- Natural Sciences and Engineering Research Council (NSERC) Discovery Accelerator Supplement (DAS)
- Editorial Roles:
- Associate Editor, Journal of the American Statistical Association (2022–present)
- Guest Editor, Statistics in Biosciences (2022–2024)
- Associate Editor, Canadian Journal of Statistics (2020–2021)
- Editorial Board Reviewer, Journal of Machine Learning Research (2020–present)
His research is supported by NSERC, Canadian Institutes of Health Research (CIHR), University of Toronto’s Data Science Institute, Canadian Statistical Sciences Institute (CANSSI), and Mitacs. He actively recruits students/postdocs with strong quantitative or computational backgrounds and has Ph.D. positions available through the CANSSI Ontario Multidisciplinary Doctoral Program (Mdoc).
