Researcher

Minki Kim

Also known as 김민기

Minki Kim is a KAIST marketing professor whose research connects AI with tutoring and health screening. He earned economics degrees at Seoul National University and the University of Chicago, joined KAIST College of Business in 2011, and published research on new-drug diffusion in 2012. A 2022 field experiment tested AI-assisted home tutoring, and a 2025 deep-learning study screened for Parkinson’s disease. He received KAIST research and teaching awards and was a member of the National AI Committee at a June 2025 forum. As of October 2026, he is a marketing professor at KAIST College of Business, heads KAIST Graduate School of Business, and chairs the KAIST MBA Program.

Now at
KAIST

Timeline

  1. 2011

    Economics and KAIST faculty

    He earns a B.A. in economics from Seoul National University and M.A. and Ph.D. degrees in economics from the University of Chicago. He joins KAIST College of Business in 2011.

  2. 2012

    New-drug diffusion research

    In 2012, he coauthors “New Drug Diffusion when Forward-Looking Physicians Learn from Patient Feedback and Detailing” with Ron Goettler and Pradeep Chintagunta for the Journal of Marketing Research.

  3. 2022

    AI-assisted home tutoring

    In 2022, he coauthors a randomized field experiment on AI-assisted home tutoring. The trial finds that AI-generated diagnoses help tutors adapt to students’ learning needs and improve academic performance.

  4. 2022–2023

    KAIST research and teaching awards

    He receives KAIST College of Business’s Impact Research Award in 2022 and Award for Excellence in Education in 2023. In 2023, KAIST gives him its Award for Academic Excellence in Commemoration of the 52nd Anniversary of Founding.

  5. Since 2023

    KAIST business school leadership

    Since 2023, he heads KAIST Graduate School of Business, chairs the KAIST MBA, and directs KAIST Seoul Business Incubation Center for Startups.

  6. 2025

    Deep learning for Parkinson’s screening

    With Youngwook Koo and Woong Woo Lee, he coauthors “Predicting Parkinson’s Disease Using a Deep-Learning Algorithm to Analyze Prodromal Medical and Prescription Data” in 2025. For the earlier prodromal period, adding all medication codes raises prediction accuracy to 0.922.

  7. June 2025

    National AI Committee membership

    At Financial News’s Future ICT Forum in June 2025, he speaks as a professor, head of KAIST Graduate School of Business, and member of the National AI Committee. He researches AI-driven business innovation and future convergence industries.

  8. As of October 2026

    KAIST marketing professor

    As of October 2026, he is a marketing professor at KAIST College of Business, heads KAIST Graduate School of Business, and chairs the KAIST MBA Program.

Career

  1. Since 2011KAISTProfessor, Head
  2. 2025National AI CommitteeMember

Education

  1. Seoul National UniversityB.A.
  2. University of ChicagoM.A.

Sources and credits

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  1. The 16th Future ICT Forum event.fnnews.com. Checked 21 October 2026.
  2. New drug diffusion when forward-looking physicians learn from patient feedback and detailing - Korea Advanced Institute of Science and Technology pure.kaist.ac.kr. Checked 21 October 2026.
  3. Home-tutoring services assisted with technology: investigating the role of artificial intelligence using a randomized field experiment pure.qub.ac.uk. Checked 21 October 2026.
  4. Minki Kim - Korea Advanced Institute of Science and Technology pure.kaist.ac.kr. Checked 21 October 2026.
  5. Predicting Parkinson’s Disease Using a Deep-Learning Algorithm to Analyze Prodromal Medical and Prescription Data pure.kaist.ac.kr. Checked 21 October 2026.
  6. People qabe.kaist.ac.kr. Checked 21 October 2026.