Please refer to this for pdf version of my CV.


RESEARCH POSITION & EDUCATION

  • 2024-  Postdoctoral Researcher, Princeton University
  • 2019-2024  Ph.D., Seoul National University
  • 2014-2018  B.Sc., Seoul National University
    • Major : Mathematics Education
    • Minor : Computer Science and Engineering

PUBLICATIONS

  • O. Press et al. AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs? Neural Information Processing Systems (NeurIPS), 2025.

  • J. Paeng, J. Park, and E. K. Ryu. Coordinate-Update Algorithms can Efficiently Detect Infeasible Optimization Problems. Jounal of Mathematical Analysis and Applications (JMAA), 2025.

  • V. Ranjan, J. Park, S. Gualandi, A. Lodi, and B. Stellato. Exact Verification of First-Order Methods via Mixed-Integer Linear Programming. arXiv e-prints:2412.11330, 2024.

  • J. J. Suh, J. Park, and E. K. Ryu. Continuous-time Analysis of Anchor Acceleration. Neural Information Processing Systems (NeurIPS), 2023.

  • C. Park, J. Park, and E. K. Ryu. Factor-$\sqrt{2}$ Acceleration of Accelerated Gradient Methods. Applied Mathematics & Optimization, 2023.

  • J. Park, and E. K. Ryu. Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations. International Conference on Maching Learning (ICML), 2023.

  • J. Park, and E. K. Ryu. Exact Optimal Accelerated Complexity for Fixed-Point Iterations. International Conference on Machine Learning (ICML), 2022.

    • Long Talk (Top 118/5630=2% of papers)

HONORS & FELLOWSHIPS

  •   2024.09  2024 Sejong Science Fellowship (Overseas Track) (National Research Foundation of Korea)
  •   2023.02  2023 Future Gauss Lecture (Gauss Labs) [Video]
  •   2022.07  Google Travel Grant (Google)
  • 2019-2022  Brain Korea 21 Four, Brain Korea 21 Plus (National Research Foundation of Korea)
  •   2019.08  Best Teaching Assistant Awards (SNU)
  • 2014-2018  Superior Academic Performance Scholarship (SNU), Scholarship from Chunjae Education Corporation, Scholarship from Cheonggwan Scholarship Foundation