Seongyoon Kim

김성윤

Ph.D. in CSE - Applied Mathematics
Multi-Physics Modeling & Computation Lab. (link)
School of Mathematics and Computing (Computational Science and Engineering)
Yonsei University

Hi, I'm Seongyoon Kim, a Ph.D. at Multi-Physics Modeling and Computation (MPMC) Lab of Yonsei University, Republic of Korea. At present, my research focuses on developing digital twins based on electrochemical and data-driven models for the diagnosis and optimization of energy systems. Additionally, I am currently studying: 1) physics-inspired machine learning and 2) uncertainty quantification (Bayesian inference) and numerical optimization for robust parameter identification.

Contact

Email: seongyoonk25@gmail.com

Affiliation

  • Experience
    • Mar. 2024 - Present: Staff Engineer, R&D, Synopsys.
    • Mar. 2021 - Feb. 2024: Technical Research Personnel, Yonsei University.
    • Sep. 2018 - Oct. 2019: Research Consultant, WorldQuant.
    • Sep. 2017 - Feb. 2018: Researcher, National Cancer Center.
  • Education
    • Mar. 2018 - Feb. 2024: Ph.D. in CSE - Applied Mathematics, School of Mathematics and Computing (Computational Science and Engineering), Yonsei University.
    • Mar. 2013 - Feb. 2017: Bachelor's degree, Department of Atmospheric Sciences, Yonsei University.
    • Mar. 2013 - Feb. 2017: Bachelor's degree, Department of Applied Statistics, Yonsei University.

Research