Jun Young Park

Assistant Professor, University of Toronto


Office 9085

700 University Ave

Toronto, ON, M5G 1Z5


I am an assistant professor at the University of Toronto, Department of Statistical Sciences and Department of Psychology. I received my Ph.D. in Biostatistics at the University of Minnesota in 2020 and B.A. in Mathematics/Statistics at Carleton College in 2012.

I develop statistical and machine learning methods for neuroimaging and genetic data. My research focuses on developing high-dimensional statistical modeling and inference procedures to account for several layers of correlation structures, including spatial, temporal, and functional dependencies, which are critical to improve replicability in datasets with low signal-to-noise ratios.

My Curriculum Vitae is available in the link. My research is being supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), the University of Toronto’s Data Science Institute, McLaughlin Centre, and the Connaught New Researcher Award.

Open positions

We are seeking (up to) two PhD students in the 2023-24 admission cycle. Please visit this page for details.


Sep 20, 2023 A new preprint on dynamic functional connectivity (from the perspective of changepoint detection) is now available!
Sep 1, 2023 Welcome Hainan Xu for joining our group as a Research Assistant!
Aug 3, 2023 Our manuscript RELIEF on removing latent batch effects is accepted for publication in Imaging Neuroscience. Congratulations, Rongqian!
Jul 12, 2023 Grateful to be supported by the Connaught New Researcher Award!
Jun 20, 2023 Will be presenting at OBHM and NeuroImaging Statistics Satellite Meeting.