Kwangmoon Park, PhD

Dr. Kwangmoon Park is a Postdoctoral Researcher at the University of Pennsylvania, where he works with Professor Hongzhe Li. He received his Ph.D. in Statistics from the University of Wisconsin-Madison in May 2025, where he was advised by Professor Sündüz Keleş. He earned an M.A. in Statistics in 2020 and a B.A. in Economics and Statistics at Yonsei University.

His research aims to address problems related to understanding how genes are regulated by their corresponding regulatory elements. To tackle this challenge, he develops statistical methods for analyzing high-dimensional genomic data and for integrating diverse types of genomic, epigenomic, and perturbational data to enhance statistical interpretability. The methodologies he focuses on are closely related to (i) dimension reduction techniques, including tensor methods and multivariate response regression, and (ii) causal inference in high-dimensional settings.

Research Areas

Causal Inference, Genetics/Omics, Artificial Intelligence/Machine Learning

Education

• PhD, Statistics, University of Wisconsin-Madison 2025
• MA, Applied Statistics, Yonsei University 2020
• BA, Economics/Applied Statistics, Yonsei University 2018

Contact

Email: kwangmoon.park@pennmedicine.upenn.edu
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