- Conditional neural field for spatial dimension reduction of turbulence data: a comparison study (Preprint)
- Neural equilibria for long-term prediction of nonlinear conservation laws (Preprint)
- SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning (Journal of Data-centric Machine Learning Research, 2025)
Research Experience
Before starting his PhD, he worked as a full-time Research Engineer at ICSI, where he was advised by Prof. Michael Mahoney and Dr. Benjamin Erichson.
Education
M.Eng in Mechanical Engineering from University of California, Berkeley, 2022 - 2023; B.S in Applied Mathematics and Physics from University of Wisconsin, Madison, 2018 - 2022.
Background
Research Interests: Mechanical Engineering, Applied Mathematics and Physics. Biography: Currently a second year PhD student at Cornell University under the supervision of Prof. Jian-Xun Wang.