Jun Young Park

Assistant Professor, University of Toronto

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Office 9085

700 University Ave

Toronto, ON, M5G 1Z5

Canada

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 (under supervision of Dr. Mark Fiecas) 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, and the Connaught New Researcher Award.

Open positions

Information on open positions is available here. We are seeking a postdoctoral fellow and PhD students for 2026.

news

Aug 27, 2025 We have two new PhD students (William Groff and Ruilin Bai) joining this year. More information available here.
Aug 26, 2025 Our paper on intermodal coupling is accepted for publication in the Imaging Neuroscience journal!
Aug 11, 2025 David successfully defended his PhD thesis today. Congratulations and we wish you all the best!
Jul 24, 2025 An updated preprint on intermodal coupling is available in BioRxiv.
Jul 17, 2025 An updated preprint on rank-adaptive covariance testing is available in ArXiv.