Min Woo Park

Min Woo Park

Ph.D. Candidate

© 2026

About Me

I am a Ph.D. candidate in Data Science at Seoul National University, advised by Sanghack Lee. I earned my Bachelor’s degree, with a double major in Applied Statistics and Mathematics, from Sejong University under the supervision of Ji Eun Lee and Jin Hee Yoon. I also worked as an AI Research Engineer Intern at Furiosa AI. Starting in March 2027, I will join Samsung Research.

News

New! Sep 2026: I was awarded the NRF Ph.D. Fellowship.
Jun 2026: Three papers are accepted at UAI 2026!
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!
Oct 2024: One paper is accepted at NeurIPS 2024.

Education

Seoul National University, Seoul (Sep. 2022 - Feb. 2027)
Ph.D. (candidate) in Data Science, Advisor: Prof. Sanghack Lee

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

Publication

* for joint authorship and † for corresponding author.

  1. On Transportability for Structural Causal Bandits
    Min Woo Park, and Sanghack Lee†
    Uncertainty in Artificial Intelligence (UAI), 2026 - [paper][poster]

  2. Breaking Bad: Component-Wise Parent Deletion for Score-Based Causal Discovery
    Min Woo Park*, Taehui Yun*, Youngin Jang, Yoonseok Yeom, Jonghwan Kim, LG AI Research, and Sanghack Lee†
    Uncertainty in Artificial Intelligence (UAI), 2026 - [paper][poster]

  3. Canonical Domain Reduction for Partial Counterfactual Identification
    Yesong Choe, Yeahoon Kwon*, Min Woo Park*, and Sanghack Lee†
    Uncertainty in Artificial Intelligence (UAI), 2026 - [paper][poster]

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

  5. 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)

  6. 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]

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

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

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


Research Experiences

▫ Samsung Research (Starting in Mar. 2027)
▫ Furiosa AI - Internship (Jun. 2026 - Sep. 2026)
▫ Causality Lab, Seoul National University (Jan. 2023 - Feb. 2027)
▫ Functional Analysis Lab, Sejong University (Jul. 2021 - Dec. 2022)
▫ Intelligent Systems and Data Science Lab, Sejong University (Jan. 2021 - Dec. 2022)

Academic Services

▫ Conference reviewer:
  2027. ICLR
  2026. NeurIPS, UAI, ICLR, ICML
  2025. ICML

▫ Reviewed AI/ML lecture video content from LG AI Research for LG Aimers (Summer, Winter 2025, Summer 2026)