DSAIL — Data Science & Artificial Intelligence Lab, KAISTKAIST ISE | GSDS
Chanyoung Park

Chanyoung Park 박찬영

Associate Professor, KAIST

Director, Data Science & Artificial Intelligence Lab (DSAIL)

Technical Advisor, NanoForge AI

CVGoogle ScholarLab research

cy.park (at) kaist.ac.kr · Tel +82-42-350-3137 · Room 4104, E2-2, KAIST

Prospective students

I am actively seeking passionate and self-motivated Ph.D. students, M.S. students, and postdocs. I am always looking for students who want to work at the intersection of representation learning, agents, and science.

In particular, I am actively looking for students interested in AI for Materials, including materials foundation models, multimodal learning, AI agents, and autonomous materials discovery.

Undergraduate internships are open every summer and winter, and an internship is the best way to prepare for applying as a graduate student. If you are interested, send me an email with your interests, CV, and transcript.

You can join the lab through the Department of Industrial and Systems Engineering, the Graduate School of Data Science, the Graduate School of AI, or the Department of AX (College of AI).

Experience

  • KAISTDaejeon, South Korea
    • Associate Professor, 2025 – present
    • Assistant Professor, 2020 – 2025
  • University of California San DiegoLa Jolla, CA, USA
  • University of Illinois Urbana-ChampaignIL, USA
    • Postdoctoral Research Fellow, Computer Science, 2019 – 2020 · host: Prof. Jiawei Han
  • Microsoft ResearchBeijing, China
    • Research Intern, Social Computing Group, 2017 · host: Dr. Xing Xie
  • NAVERSeongnam, South Korea
    • Research Intern, NAVER Shopping, 2017 · host: Dr. Jung-Tae Lee

Education

  • POSTECHPh.D. in Computer Science and Engineering, 2019
    • Dissertation: Recommendation Framework via Matrix Factorization and Translation
  • Sogang UniversityB.S. in Computer Science and Engineering, 2014

Awards

  • 2026NVIDIA Academic Grant
  • 2026Best Paper Award, KDD 2026 Workshop on Reliable Scientific Foundation Models
  • 2026Best Paper Award, KDD 2026 Workshop on Personal Intelligence in the Agentic AI Era
  • 2026Google Research Award
  • 2025Impact Research Award (Achievement Award), KAIST
  • 2025Best Academic Award, ISE KAIST
  • 2024Song-Am Distinguished Research Award, KAIST
  • 2024Best Academic Award, ISE KAIST
  • 2024Best Paper Award, KDD 2024 Workshop on Federated Learning (FedKDD)
  • 2024Best Paper Award, KDD 2024 Workshop on Human-Interpretable AI
  • 2024Gold Prize, 30th Samsung Humantech Paper Award
  • 2023Technology Innovation Award, College of Engineering, KAIST
  • 2023Top Reviewer, NeurIPS 2023
  • 2023Best Paper Award, ICML 2023 Workshop on Computational Biology
  • 2023KAIST Excellence in Teaching Award (2022)
  • 2022Best Teaching Award, ISE KAIST
  • 2018ICDM 2018 Travel Award
  • 2017Award of Excellence, Microsoft Research Asia Internship Program
  • 2016NAVER Ph.D. Fellowship
  • 2015Top 1.1%, RecSys Challenge

Teaching

  • DS535 · Recommender System and Machine Learning on GraphsFall 2021 – 2024, 2026
  • IE343 · Statistical Machine LearningSpring 2021 – 2024, 2026
  • DS503 · Machine Learning for Data ScienceSpring 2023, 2024
  • KSE527 · Deep LearningSpring 2022
  • CoE202 · Basics of Artificial IntelligenceFall 2021

Academic service

  • Area ChairKDD, ICLR, NeurIPS, ICML, AAAI
  • Action EditorTransactions on Machine Learning Research (since 2026)
  • General ChairCIKM 2025
  • Proceedings ChairCIKM 2023
  • OrganizerKorea AI4Science Gathering @ ICML 2026; KDD 2026 Workshop on SciSoc Agents & LLMs
  • Reviewer / PCKDD, NeurIPS, ICLR, ICML, AAAI, WWW, SIGIR, WSDM, IJCAI, CIKM, LoG, ECML-PKDD, and others

Selected talks