Kwangmoon Park
Statistics PhD candidiate
Department of Statistics, University of Wisconsin-Madison
Contact
1335I Medical Sciences Center
1300 University Avenue
Madison WI 53706
E-mail : kpark243[at]wisc[dot]edu
Background
I am a Statistics Ph.D. Candidate at University of Wisconsin-Madison, 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 a visiting student at Erasmus Universiteit Rotterdam.
The problems that I aim to address are related to understanding how genes are regulated by distal regions in the genome, particularly by functional non-coding regions. To tackle these challenges, I develop statistical tools for analyzing High-dimensional genomic data, including Hi-C and HiChIP, and for linking diverse types of genomic or epigenomic data with better statistical interpretation. The specific methodologies I work on are closely related to tensor factorization/regression and dimension reduction techniques, including Partial Least Squares.
CV
Here is my CV.
Education
Ph.D. in Statistics, University of Wisconsin-Madison (2020-Present)
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 Section on Statistics in Genomics and Genetics (SGG) Student Paper Award (2023)
- American Statistical Association (Section on Statistics in Genomics and Genetics)
IMS Hannan Graduate Student Travel Award (2024)
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, accepted.
- 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 review.
- This work won IMS Hannan Graduate Student Travel Award (2024).
Park, K., Keleş, S. (2024) Empirical Bayes spline model learns multi-way genomic interactions from single cell 3D genome data, bioRxiv, under major revision by Nature Communications.
Alberca, C., Park, K., Papale, L., Madrid, A., Keleş, S., Arlisch, R. (2024) Integration of multi-omics data improves the resolution of the molecular etiology of autism in a mouse model, in progress.
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.
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.
Academic Service
Reviewer for Recomb 2023.
Reviewer for ISMB/ECCB 2023.
Reviewer for Recomb 2024.