Co-authors
27
list available
Resume (English only)
Academic Achievements
- 2025: Published multiple papers on physics-informed neural networks (PINNs), deep operator networks, and generative deep learning applied to fluid mechanics, astrophysics, and financial transactions
- 2024: Published in top journals including Journal of Machine Learning Research, Journal of Computational Physics, and Geophysical Research Letters on interdisciplinary topics combining machine learning and differential equations
- 2023–2021: Continued high-impact publications on PINNs, generative models for weather prediction, and numerical methods for shallow-water equations
- 2022: Collaborated with R.O. Popovych on PINNs for shallow-water equations on the sphere
- 2019: Proposed a stochastic variational framework for precipitation nowcasting