Jun Young Park
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 is available here.
news
| Apr 16, 2025 | Our paper on imaging genetics for Alzheimer’s is accepted for publication in the Imaging Neuroscience journal. Congratulations, Yuan! |
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| Mar 3, 2025 | A new preprint on imaging genetics is available in MedRxiv. |
| Jan 16, 2025 | Congrats Ruyi for being selected as one of the receipients of the ASA Statistics in Imaging student paper award! |
| Nov 25, 2024 | An updated preprint on rank-adaptive covariance testing is available in ArXiv. |
| 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. |