Curriculum Vitae

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APPOINTMENTS

• 2024-  Postdoctoral Research Associate, Princeton University
  • Dept. of Operations Research & Financial Engineering. (Advisor: Bartolomeo Stellato)
• 2023  Research Intern, Alibaba DAMO Academy
  • Host: Wotao Yin

EDUCATION

• 2019-2024  Ph.D. in Mathematical Sciences, Seoul National University
  • Advisor: Ernest K. Ryu
  • Thesis: Understanding the Optimization Algorithms via Fixed-point Iterations and Their Applications.
• 2014-2019  B.Sc. in Mathematics Education, Seoul National University
  • Minor : Computer Science and Engineering
• 2017  Study Abroad, University of British Columbia (Fall 2017)

PUBLICATIONS

• V. Ranjan, D. Deza, A. Acharya, J. Park, and B. Stellato. FOMTools: Development and AI-Assisted Code Generation for First-Order Methods. arXiv e-prints:2610.26743, 2026.

• V. Ranjan, J. Park, and B. Stellato. Learning Distributionally Robust First-Order Methods for Convex Optimization. arXiv e-prints:2605.06585, 2026.

• V. Ranjan, J. Park, S. Gualandi, A. Lodi, and B. Stellato. Exact Verification of First-Order Methods via Mixed-Integer Linear Programming. SIAM Journal on Optimization, 2026. (To appear)

• J. Park, V. Ranjan, and B. Stellato. Data-driven Analysis of First-Order Methods via Distributionally Robust Optimization. arXiv e-prints:2511.17834, 2025.

• 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. Journal of Mathematical Analysis and Applications (JMAA), 2025.

• 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 Machine 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 Training Track) (National Research Foundation of Korea)
•   2023.02  2023 Future Gauss Lectures (Gauss Labs) [Video]
•   2022.07  Google Travel Grant (Google)
• 2019-2023  Brain Korea 21 Four, Brain Korea 21 Plus (National Research Foundation of Korea)
•   2019.08  Best Teaching Assistant Awards (SNU)
• 2014-2018  Academic Performance Scholarship (SNU), Scholarship from Chunjae Education Corporation, Scholarship from Cheonggwan Scholarship Foundation