Kwangmoon Park
Kwangmoon Park
Postdoctoral researcher
Contact
208 Blockley Hall
423 Guardian Dr
Philadelphia PA 19104
E-mail : kpark243[at]upenn[dot]edu
Background
I am a Postdoctoral Researcher at the University of Pennsylvania, where I work with Professor Hongzhe Li.
I received Ph.D. in Statistics from the University of Wisconsin-Madison in May 2025, where I was advised by Professor Sündüz Keleş. Before joining UW-Madison, I earned a master's degree in Statistics at the Yonsei University in 2020 and Professor Seung-Ho Kang was my academic advisor. I earned my B.A. in Economics and Statistics at Yonsei University, and I studied Economics as an exchange student at Erasmus University Rotterdam.
I aim to address problems related to understanding how genes are regulated by their corresponding regulatory elements. To tackle this challenge, I develop 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 I focus on are closely related to (i) dimension reduction techniques, including tensor methods and multivariate response regression, and (ii) causal discovery and inference in high-dimensional settings.
CV
Here is my CV.
Employment
Postdoctoral researcher, University of Pennsylvania (2025-present)
Education
Ph.D. in Statistics, University of Wisconsin-Madison (2020-2025)
M.A. in Statistics, Yonsei University (2018-2020)
Visiting student, Erasmus University Rotterdam (2017)
B.A. in Economics and Statistics, Yonsei University (2012-2018)
Awards and Honors
ENAR Distinguished Student Paper Award (2023)
- Eastern North American Region International Biometric Society
ASA Best Student Paper Award (2023)
- American Statistical Association (Section on Statistics in Genomics and Genetics)
IMS Hannan Student Award (2024)
- Institute of Mathematical Statistics
ICSA Student Paper Award (2025)
- International Chinese Statistical Association
SCI Travel Scholarship (2025)
Research
Park, K., Keleş, S. (2023) Joint tensor analysis of single cell 3D genome and epigenetic data with Muscle, Journal of the American Statistical Association.
- This work won ENAR Distinguished Student Paper Award (2023).
- This work won ASA Distinguished Student Paper Award (2023).
Park, K., Keleş, S. (2023) Sparse higher order partial least squares for simultaneous variable selection, dimension reduction, and tensor denoising, arxiv, under revision by Biometrika.
- This work won IMS Hannan Graduate Student Travel Award (2024).
Park, K., Gao, T., Yan, J., Keleş, S. (2024) Empirical Bayes spline model learns multi-way genomic interactions from single cell 3D genome data, bioRxiv, under revision by Nature Communications.
Park, K., Sun, Z., Liao, R., Brensnick, E., Keleş, S. (2025) Systematic Background Selection for Enhanced Contrastive Dimension Reduction, bioRxiv, under revision by Nature Communications.
- This work won ICSA Student Paper Award (2025).
Alberca, C.*, Park, K.*, Papale, L., Madrid, A., Keleş, S., Arlisch, R. (2025) Integration of multi-omics data improves the resolution of the molecular etiology of autism in a mouse model, under review. (*: equal contribution)
Park, K., Kang, H., Hogan, K., Arlisch, R.,Keleş, S. (2025) Sensitivity analysis for unmeasured confounding with high-dimensional outcomes and the least sensitive direction via outcome dimension reduction, in progress.
- This work won SCI Travel Scholarship (2025).
Presentations
Joint Statistical Meetings (JSM), Washington, D.C.. Talk, August 10, 2022.
Denoising and inference for scHi-C by large-scale unbiased tensor decomposition
Eastern North American Region (ENAR) International Biometric Society, Nashville TN. Talk, March 21, 2023.
Joint tensor modeling of single cell 3D genome and epigenetic data withMuscle.
Midwest Machine Learning Symposium (MMLS), Chicago IL. Poster, May 17, 2023.
Sparse higher order partial least squares for simultaneous variable selection, dimension reduction, and tensor denoising.
Joint tensor modeling of single cell 3D genome and epigenetic data with Muscle.
Joint Statistical Meetings (JSM), Toronto ON. Talk, August 8, 2023.
Joint tensor modeling of single cell 3D genome and epigenetic data with Muscle.
University of Sydney Statistical Bioinformatics Seminar, virtual. Talk, April 15, 2023.
High dimensional tensor methods for multi-modal single cell genomics data.
Joint annual retreat of the Computation and Informatics in Biology and Medicine (CIBM) and Biomedical Data Science programs , Madison WI, Invited lightening talk and poster, May 29, 2024.
Learning genomic multi-way interactions from single-cell chromatin conformation capture data.
Joint Statistical Meetings (JSM), Portland OR. Talk, August , 2024.
High dimensional tensor methods for multi-modal single cell genomics data.
RECOMB/ISCB Conference on Regulatory and Systems Genomics, Madison WI, Talk, Oct 2, 2024.
Learning genomic multi-way interactions from single-cell chromatin conformation capture data.
Chan Zuckerberg Initiative (CZI), Chicago IL. Talk, Apr , 2025.
Learning genomic multi-way interactions from single-cell chromatin conformation capture data.
Instutute for Mathematical and Statistical Innovation (IMSI) - Statistics Meets Tensors, Chicago IL. Poster, May , 2025.
Sparse Higher-Order Partial Least Squares for Applications in Single-Cell 3D Genomics Data.
Academic Service
Reviewer for Recomb 2023.
Reviewer for ISMB/ECCB 2023.
Reviewer for Recomb 2024.
Reviewer for Recomb 2025.
Reviewer for Digital Signal Processing.
Reviewer for The American Statistician.