Ph.D. Student

About Me

Hi, thanks for visiting my site! I previously conducted research in Functional Analysis Lab and Intelligent Systems and Data Science (ISDS) Lab at Sejong University. Currently, I am a graduate student in the Causality Lab Causality Logo at Seoul National University. My research focuses on Causal Decision Making and Causal Effect Identification. I study how to graphically model a wide range of real-world problems in a causal manner and make optimal decisions.

News

New! Jan 2026: One paper is accepted at ICLR 2026!
Nov 2025: A preprint for our paper on transportability for structural causal bandits is released!
Sep 2025: One paper is accepted at NeurIPS 2025!
July 2025: Causality Lab memebers visit Jeju for a workshop!
Oct 2024: One paper is accepted at NeurIPS 2024.

Education

Graduate School of Data Science, Seoul National University (2022 - present)
M.S. & Ph.D. (candidate) in Data Science, Advisor: Prof. Sanghack Lee

Department of Mathematics and Statistics, Sejong University (2016 - 2022)
B.S. in Applied Statistic and Mathematics (Double Major), Cum Laude, Advisors: Prof. Ji Eun Lee and Jin Hee Yoon

Publication

* for joint first authorship and † for corresponding author.

  1. Counterfactual Structural Causal Bandits
    Min Woo Park, and Sanghack Lee†
    International Conference on Learning Representations (ICLR), 2026 - [paper]

  2. Structural Causal Bandits under Markov Equivalence
    Min Woo Park, Andy Arditi, Elias Bareinboim†, and Sanghack Lee†
    Neural Information Processing Systems (NeurIPS), 2025 - [paper][poster]
    (Columbia University CausalAI Laboratory, Technical Report, R-122)

  3. On Transportability for Structural Causal Bandits
    Min Woo Park, and Sanghack Lee†
    under review, arXiv preprint, 2025 - [preprint]

  4. Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference
    Yonghan Jung, Min Woo Park, and Sanghack Lee†
    Neural Information Processing Systems (NeurIPS), 2024 - [paper][poster]

  5. Computation of the iterated Aluthge, Duggal, and Mean transforms
    Min Woo Park*, and Ji Eun Lee*†
    Filomat, 2023 - [paper]

  6. Breaking Bad: Component-wise Parent Deletion for Score-Based Causal Discovery
    Min Woo Park*, Taehui Yun*, Youngin Jang, Younsuk Yeom, Jonghwan Kim, LG AI Research, and Sanghack Lee†
    under review

  7. Canonical Domain Reduction for Partial Counterfactual Identification
    Yesong Choe, Yeahoon Kwon, Min Woo Park, and Sanghack Lee†
    under review

  8. Convergence of the iterated mean transforms of a 2 by 2 matrix
    Ji Eun Lee*†, and Min Woo Park*
    under review

[Google Scholar] [Curriculum Vitae] [Open Review]

Academic Services

Conference reviewer: 2026 ICLR, ICML, 2025 ICML