Professor
Gunwoong Park / 박건웅 (2018 - Present)
Affiliations
Associate Professor, Department of Statistics at Seoul National University, 2024.03 - Present
Director, Institute for Data Innovation in Science, Data Discovery Center, 2024.03 - Present
Adjunct Professor, Interdisciplinary Program in Artificial Intelligence at Seoul National University, 2022.04- Present
Assstant Professor, Department of Statistics at Seoul National University, 2022.03 - 2024.02
Assistant Professor, University of Seoul, 2018.03 - 2022.02
Post-doc Fellow, University of Michigan - Ann Arbor, 2016.09 - 2018.02 (Advisors: Liza Levina and Ji Zhu)
Education
Ph.D in Statistics, University of Wisconsin - Madison, 2011.09 - 2016.08 (Advisor: Garvesh Raskutti)
B.S in Statistics, Seoul National University, 2003.03 - 2011.02
Research Interests
Machine Learning and Artificial Intelligence: Research on applying statistical methods to machine learning, deep learning, and artificial intelligence, including interpretation and reliability analysis of AI models.
Big Data Analysis and Predictive Modeling: Research on statistical analysis and predictive modeling using large-scale data from various fields, including preprocessing, model selection, and evaluation of big data.
Experimental Design and Statistical Experimental Analysis: Research on statistical experimental design and analysis, including effective experimental planning, analysis, and interpretation of experimental data.
Applied Statistics: Research on applying statistics to various fields such as healthcare, finance, and public policy, focusing on statistical approaches and analysis.
Contract
gw.park23 (at) gmail (dot) com / gwpark23 (at) snu (dot) ac (dot) kr
Post Doc.
Joonho Shin/신준호 (Post Doc., 2023.12 - Present)
Education
Ph.D in Statistics, Seoul National University, 2016.03 - 2023.02 (Advisor: Chae Young Lim)
B.S in Mathematical Sciences, Seoul National University, 2012.03 - 2016.02
Research interests
Probabilistic graphical model
Spatial data analysis: random field theories and fixed domain asymptotics therein, spectral analysis in geostatistics and point processes, spatial quantile regression, latent Gaussian data modeling, spatial confoundings.
Contact: juno shinn at gmail dot com / joonho.shin at snu dot ac dot kr
Ph.D.
Donguk Shin/신동욱 (Ph.D., 2024 - Present)
Dong Uk is interested in topics related to Directed acyclic graphical (DAG) models, especially in structure learning algorithms. He received his B.A. degree in Applied Statistics from Chung-Ang University in 2021.
Research Topic: Optimal Estimation of Linear SEMs
Contract: dushin 9980 at gmail dot com
M.S.
Sunmin Oh/오선민 (M.S., 2022 - Present)
Sunmin is interested in machine learning and deep neural network, including both theoretical elements and algorithms. She completed B.S. in Statistics and Financial Mathematics at Seoul National University in 2022.
Research Topic: Optimal Estimation of Linear SEMs; Bayesian Approach for Bayesian Network Estimation
Contract: sunmin 01111 at gmail dot com
Youngmin Ahn/안영민 (M.S., 2022 - Present)
Youngmin is interested in various topics ranging from theories to applications in statistical machine learning. She received B.S. in Statistics from Ewha Womans University in 2022.
Research Topic: Optimal Estimation of Linear SEMs
Contract: minin 4915 at gmail dot com
Byeongguk Kang/강병국 (M.S., 2023 - Present)
- Byeong Guk is interested in probabilistic graphical models and statistical machine learning, including both theories and algorithms. He received B.A. degree in Law from Korean National Police University in 2021.
Research Topic: Structure learning for SEMs
Contract: kk 9983612 at gmail dot com
Woongjoon Park/박웅준(M.S., 2023 - Present)
박웅준(M.S., 2023 - Present)
He received a B.E. degree in Urban Planning & Engineering and a B.A. degree in Applied Statistics from Yonsei University in 2023.
Woongjoon has interests in both the theory and application of machine learning, with a specific focus on probabilistic graphical models and their application to spatial data.
Contract: statwj 95 at snu dot ac dot kr
Junhyoung Chung/정준형 (M.S., 2024 - Present):
Junhyoung is interested in machine learning and probabilistic graphical models, including theories and applications. He receives B.A. in Economics and B.S. in Statistics from Seoul National University in 2024.
Research Topic : Estimation of DAG with Measurement Errors
Contract : junhyoung 0534 at gmail dot com, justin9991 at snu dot ac dot kr
Intern
Alumni
신동욱, Donguk Shin (MS, 2022-2024): dushin 9980 at gmail dot com [서울대학교 통계학과 박사진학]
황세용, Seyong Hwang (MS, 2023-2024): seyong 981121 at gmail dot com [통계학과 박사진학]
정준형, JunHyoung Chung (B.S. Intern, 2023 Summer/Winter): junhyoung 0534 at gmail dot com [서울대학교 통계학과 석사진학]
김수현, Sue Hyun Kim (B.S. Intern, 2023 Summer): suehyun kim at snu dot ac dot kr
김재홍, Jaehong Kim (B.S. Intern, 2023 Summer): jhk 0502 at snu dot ac dot kr
최재훈(B.S. Intern, 2022 Winter): james 7846 at snu dot ac dot kr [서울대학교 통계학과 석사진학]
정영철(M.S. Intern, 2022 - 2023)
Junho Cheon (M.S., 2020-2023, University of Seoul): cjhnono1 at gmail dot com
Boyeon Hwang (M.S., 2020-2023, University of Seoul): moon080000 at gmail dot com
Sion Park (M.S., 2018-2022, University of Seoul): rockgoat95 at gmail dot com [넥슨]
Yesool Kim (M.S., 2019-2022, University of Seoul): yesool0520 at gmail dot com
Jaemin Lee (M.S., 2020-2022, University of Seoul): leejm92 at naver dot com [삼성전자]
Younghwan Kim (M.S., 2018-2020, University of Seoul): imericsun at gmail dot com [JMP Korea]
Bohyeon Park (M.S., 2018-2020, University of Seoul): bohyppo at naver dot com
Hyewon Park (M.S., 2018-2019, University of Seoul): sdtrd011 at gmail dot com