Yoonho Kim

Master's Student at KAIST AI.

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I am a Master’s student at KAIST Kim Jaechul AI Graduate School, advised by Prof. Sungsoo Ahn. My research focuses on AI for Science, specifically aiming to accelerate or approximate DFT (Density Functional Theory) and MD (Molecular Dynamics) using AI, and solving physical/chemical problems with machine learning.

Previously, I completed my B.S. in Computer Science and Mathematics at POSTECH, where I also explored Chemical Engineering. Contact me with yoonho2001@kaist.ac.kr or hjyang093@gmail.com


Education


  • M.S. in AI (2026 - Present)
    • KAIST, South Korea
  • B.S. in Computer Science & Mathematics (2020 - 2025)
    • POSTECH, South Korea
    • Exchange Student at University of Liverpool (2024)


Publications


DiVaTe: A Benchmark for Semantic Contamination in Visual Text Rendering
Yoonho Kim*, Jaeyoo Park*, Wonjae Roh, Bohyung Han
Preprint, 2025 (* Equal contribution)

Unveiling the catalyst deactivation mechanism in the non-oxidative dehydrogenation of light alkanes on Rh (111)
S Choung, Y Kim, J Moon, J Roh, J Hwang, JW Han
Catalysis Today 411, 113819, 2023


Honors and Awards


  • CSE GLP Fellowship (Global Leadership Program)
    Mar 2024 · Issued by POSTECH
    Selected for excellence in Computer Science (Grant: 8,000,000 KRW).

  • Presidential Science Scholarship (대통령과학장학금)
    Feb 2022 · Issued by Korea Student Aid Foundation (KOSAF) (Grant: 20,000,000 KRW).


Work Experience


  • Software Engineer Intern · Lambda256 (Dunamu, Upbit)
    Jun 2023 – Aug 2023

  • Developer · PDAO
    Oct 2022 – Aug 2023


Research Experience


  • Research Intern & Current M.S. Program (Ai for Science) · Kaist
    August 2025 – Present · Advised by Prof. Sungsoo Ahn

  • Research Intern (Computer Vision) · Seoul National University (SNU)
    Jan 2025 – Present · Advised by Prof. Bohyung Han

  • Research Intern (Database Systems) · POSTECH
    Feb 2024 – Aug 2024 · Advised by Prof. Wookshin Han
    Focus: Vector DB optimization.

  • Research Intern (Distributed Systems) · Seoul National University (SNU)
    Oct 2023 – Feb 2024 · Advised by Prof. Hyeonsang Eom
    Focus: Blockchain and storage systems.

  • Research Intern (Density Functional Theory) · POSTECH
    Jan 2021 – Jul 2022 · Advised by Prof. Jeongwoo Han
    Focus: Density Functional Theory (DFT)