Jun Young Park

Assistant Professor, University of Toronto

junyoungpark1.jpeg

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, McLaughlin Centre, and the Connaught New Researcher Award.

Open positions

Information on open positions for 2025 is available here.

news

Jun 29, 2024 A new preprint on mapping individual differences in intermodal coupling is available in BioRxiv. This work was done in collaboration with Dr. Weinstein, Dr. Tu and others.
Apr 8, 2024 Our SAN paper is accepted for publication in the Human Brain Mapping journal. Congratulations, Rongqian!
Mar 11, 2024 A revised manuscript for SAN is now available here.
Dec 11, 2023 Congrats David for being selected as a receipient of the ENAR 2024 distinguished student paper award!
Dec 7, 2023 Check out the SAN preprint for mitigating spatical covariance heterogeneity in neuroimaging data.