PeopleofSuperintelligence

Researcher

Chanyoung Park

Also known as 박찬영

Chanyoung Park is a KAIST computer scientist whose work spans graph learning, language models, and AI for science. He earned computer-science degrees at Sogang and POSTECH, held internships at NAVER and Microsoft Research, completed a UIUC postdoc, and joined KAIST as an assistant professor in 2020. His work includes asp2vec for multi-aspect network embedding, a synthetic-data method for federated learning, and a 2025 EMNLP survey on ambiguity in conversational question answering with large language models. In 2025, he served as a general chair of CIKM and received KAIST's Impact Research Award. Today, he is a KAIST associate professor, director of DSAIL, and technical advisor to NanoForge AI; in 2026, he coauthored CLADD, a retrieval-augmented system of collaborative LLM agents for drug discovery.

Now at
KAIST
Works
95
Citations
2,002
h-index
20
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2014–2019

    Computer science at Sogang and POSTECH

    He earns a B.S. in computer science and engineering from Sogang University in 2014 and completes a Ph.D. in computer science and engineering at POSTECH in 2019.

  2. 2017–2020

    Internships and a UIUC postdoc

    In 2017, he interns at Microsoft Research's Social Computing Group with Dr. Xing Xie and at NAVER Shopping with Dr. Jung-Tae Lee. From 2019 to 2020, he is a postdoctoral research fellow in the Computer Science Department at the University of Illinois at Urbana-Champaign.

  3. 2020–2025

    asp2vec and a KAIST appointment

    In 2020, he coauthors asp2vec, an end-to-end method for multi-aspect network embedding that assigns each node an aspect from its local context. He joins KAIST as an assistant professor in the Department of Industrial and Systems Engineering.

  4. 2025

    Synthetic data for federated learning

    In 2025, he leads a KAIST team that uses synthetic data during federated-learning fine-tuning to reduce local overfitting.

  5. 2025

    CIKM chair and KAIST award

    He serves as a general chair of CIKM 2025 and receives KAIST's 2025 Impact Research Award.

  6. 2025

    An EMNLP survey on LLM ambiguity

    He coauthors a 2025 EMNLP survey that analyzes ambiguity in conversational question answering, compares LLM-based disambiguation approaches, and identifies open questions for agentic settings.

  7. 2025–2026

    Visiting scholar at UC San Diego

    From 2025 to 2026, he is a visiting scholar in UC San Diego's Department of Computer Science and Engineering with Prof. Julian McAuley.

  8. Since 2025

    KAIST associate professor and CLADD

    In 2025, he becomes an associate professor in KAIST's Department of Industrial and Systems Engineering. He directs DSAIL, whose research spans graph and relational learning, personalized recommendation, multimodal intelligence, agentic AI, and AI for science, and advises NanoForge AI. In 2026, he coauthors CLADD, a retrieval-augmented system of collaborative LLM agents for drug discovery.

Career

  1. Since 2020KAISTAssistant Professor, Associate Professor
  2. 2025–2026University of California, San DiegoVisiting Scholar
  3. 2019–2020University of Illinois Urbana-ChampaignPostdoctoral Research Fellow
  4. 2017Microsoft ResearchIntern
  5. 2017NAVER ShoppingIntern
  6. 2010–2018University of Florida

Education

  1. 2019Pohang University of Science and TechnologyPh.D.
  2. 2014Sogang UniversityB.S.

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Microsoft. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  2. The United States employs an estimated 48% of people shaping AIIncludes KAIST. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes KAIST. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes KAIST. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Chanyoung Park — DSAIL @ KAIST dsail.kaist.ac.kr. Checked 20 October 2026.
  2. Chanyoung Park - Korea Advanced Institute of Science and Technology pure.kaist.ac.kr. Checked 20 October 2026.
  3. Unsupervised Differentiable Multi-aspect Network Embedding pure.kaist.ac.kr. Checked 20 October 2026.
  4. Federated Learning AI Developed for Hospitals and Banks Without Personal Information Sharing kaist.ac.kr. Checked 20 October 2026.
  5. CIKM 2025 cikm2025.org. Checked 20 October 2026.
  6. Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey aclanthology.org. Checked 20 October 2026.
  7. DSAIL @ KAIST dsail.kaist.ac.kr. Checked 20 October 2026.
  8. RAG-Enhanced Collaborative LLM Agents for Drug Discovery ojs.aaai.org. Checked 20 October 2026.