Services

  • I served as a reviewer for, Journal of Scientific Computing, Kinetic and Related Models, Research in the Mathematical Sciences, Journal of Computational Mathematics, SIAM Journal on Mathematics of Data Science, Transactions on Machine Learning Research (TMLR) & Journal of Machine Learning Research (JMLR).

  • I served as a reviewer for, MSML 2022, ICML 2023, NeurIPS 2023, ICLR 2024, AISTATS 2024, ICML 2024, NeurIPS 2024, NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning, NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning, ICLR 2025, AISTATS 2025, ICML 2025, ICML 2025 Workshop on Methods and Opportunities at Small Scale, NeurIPS 2025, AAAI 2026, ICLR 2026, AISTATS 2026, EurIPS 2025 Workshop on Principles of Generative Modeling, UAI 2026 & ICML 2026. I received the Top Reviewer Award in NeurIPS 2025.

  • I served as a member in, Stanford ICME PhD Admissions Committee, 2023-2024 & 2024-2025.

  • I served as a teaching assistant for:

    • CME 303/MATH 220A, Partial Differential Equations of Applied Mathematics, Fall 2022
    • CME 206/ME 300C, Introduction to Numerical Methods for Engineering, Spring 2023
    • CME 306/MATH 220B, Computational Methods of Applied Mathematics, Winter 2024

  • I was a contributor to the Humanity's Last Exam benchmark and a member of the HLE Contributors Consortium of the Nature article, A benchmark of expert-level academic questions to assess AI capabilities, 2026.