Kwangmoon Park

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) 

- Society for Causal Inference

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.

• Banff International Research Station (BIRS), Banff AB. Talk, July 3, 2023. 

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 Nature Communications.

• Reviewer for The American Statistician.

• Reviewer for Digital Signal Processing.

• Reviewer for Recomb 2025.

• Reviewer for Recomb 2024.

• Reviewer for ISMB/ECCB 2023.

• Reviewer for Recomb 2023.