Data Science & Machine Learning Lab - People

Professor

Gunwoong Park / 박건웅

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 / gwpark23 (at) ucsb (dot) edu

Post.Doc

남승찬 (Post.Doc., 2025-Present)
박수진 (Post.Doc., 2025-Present)

Ph.D.

Donguk Shin/신동욱 (Ph.D., 2024 - Present)
1. - Dong Uk is interested in topics related to Directed acyclic graphical (DAG) models, especially in structure learning algorithms.
  - He received his M.S. degree from Seoul National University in 2024 and his B.A. degree in Applied Statistics from Chung-Ang University in 2021.
  - Research Topic:
    1. Forward Learning of Linear SEMs
    2. Optimal Estimation of Linear SEMs
    3. Non-Gaussian Anchored Model Learning
    4. Measurement Error Variance Estimation
    5. Constraint Cholesky Decomposition
  - Contract: dushin 9980 at gmail dot com
Sunmin Oh/오선민 (Ph.D., 2024 - Present)
1. - 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. She received her M.S. degree from Seoul National University in 2024
  - Research Topic:
    1. Bayesian Approach for Bayesian Network Estimation
    2. Optimal Estimation of Linear SEMs
    3. Optimal Learning of LINGAMs
    4. Sparse Cholesky Decomposition
  - Contract: sunmin 01111 at gmail dot com
Byeongguk Kang/강병국 (M.S.-Ph.D., 2023 - Present)
1. - 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:
    1. Incomplete Data Analysis
    2. High-dimensional DAG Learning from Contaminated Data
  - Contract: kk 9983612 at gmail dot com

M.S. (-Ph.D combined)

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 :
    1. Learning to Rank Approaches
    2. Mountain Accident Prediction
    3. Estimation of DAG with Measurement Errors
    4. Non-Gaussian Anchored Model Learning
  - Contract : junhyoung 0534 at gmail dot com, justin 9991 at snu dot ac dot kr
Jaehoon Choi/최재훈 (M.S., 2024 - Present):
- - Jaehoon is interested in machine learning and probabilistic graphical models, including theories and applications in time series data. He receives B.S. in Statistics from Seoul National University in 2024.
  - Research Topic:
    1. Prediction of Mountain Rescue Team Arrival Order
    2. High-dimensional Poissonian-Gaussian Linear SEM Learning
  - Contract : james784669 at gmail dot com, james7846 at snu dot ac dot kr
Euijong Song/송의종(M.S.-Ph.D, 2024 - Present)
- - Euijong is interested in utilizing DAG models for causal inference, with a particular focus on research involving omics data. He holds a B.A. degree in Biology from Konkuk University, which he obtained in 2024.
  - Research Topic :
    1. Prediction of Mountain Rescue Team Arrival Order
    2. High-dimensional Robust Linear SEM Learning
  - Contract(Contact) : brejsong at snu dot ac dot kr
Seunghwan Noh/노승환(M.S., 2024 - Present)
- Seunghwan is interested in probabilistic graphical models, including both theories and applications. He received B.A. in Economics and B.S. in Statistics from Seoul National University in 2024.
- Research Topic : Measurement Error Variance Estimation
- Contact : swannoh905 at gmail dot com, swannoh at snu dot ac dot kr

5. 이대훈(M.S., 2025 - Present)

B.S.

박혜원 (2025 - Present)
- Research Topic
  1. High-dimensional Robust Linear SEM Learning
- Contact : at gmail dot com, at snu dot ac dot kr

Intern: positions will be available starting Spring and Summer 2026.

Alumni

박혜원 (B.S. Intern, 2025 Summer) [서울대학교 통계학과 석사진학]
정상훈, Sanghun Jeong (Post Doc., 2025 - 2025) jsund110 at gmail dot com [국립창원대학교 교수]
박웅준, Woongjoon Park (M.S., 2023 - 2025) statwj 95 at snu dot ac
안영민, Youngmin Ahn (M.S. 2023 - 2025) minin 4915 at gmail dot com [서울대학교 통계학과 박사진학]
박유하, Yuha Park (Post-doc, 2024-2025)
이동현 (B.S. Intern, 2024 Summer) sasasnu 2019 snu ac kr [서울대학교 통계학과 석사진학]
한승수 (B.S. Intern, 2024 Summer & Fall) gkstmtm snu ac kr
이성진 (B.S. Intern, 2024 Summer) jin 5740782 snu ac kr
이지윤 (B.S. Intern, 2024 Summer) clamb 36 snu ac kr
신준호, Joonho Shin (Post-doc, 2023-2024) junoshinn at gmail dot com [성신여자대학교 교수]
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 [서울대학교 통계학과 석사진학]
김재홍, Jaehong Kim (B.S. Intern, 2023 Summer): jhk 0502 at snu dot ac dot kr [해외 박사진학]
최재훈(B.S. Intern, 2022 Winter): james 7846 at snu dot ac dot kr [서울대학교 통계학과 석사진학]
정영철(M.S. Intern, 2022 - 2023)
최세민, Semin Choi (Post-doc, 2020-2022): semin 90 at gmail dot com [방송통신대학교 교수]
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 [KB 국민은행]

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