Zezheng Song
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Email: zsong001 AT umd DOT edu |
About me
I am a doctoral candidate in Applied Mathematics & Statistics, and Scientific Computation (AMSC) Program at the University of Maryland, College Park. I am fortunately advised by Prof. Haizhao Yang.
My research interests encompass computational mathematics, machine learning, numerical linear algebra, and their practical applications in various scientific fields.
Before joining UMD, I graduated from University of Texas at Austin with a bachelor's degree in Mathematical Sciences.
Research
My research interests include
Scientific Machine Learning (Foundation Model, Reinforcement Learning)
High Performance Computing
Mathematical Data Science
Dynamical Systems
Numerical Linear Algebra
News
[10-02-2024] Our paper on Multi-Modal Foundation Model for fast simulation of dynamical systems is online “FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model”.
[08-23-2024] Our survey paper “Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey” is on arXiv [pdf].
[08-06-2024] Our work “A Finite Expression Method for Solving High-Dimensional Committor Problems” has been accepted by SIAM Journal on Scientific Computing.[pdf] [code] Cheers!
[06-27-2022] Started 10-week internship at Lawrence Berkeley National Laboratory.
Awards
[04/2024] Hauptman Summer Fellowship 2024, Department of Mathematics, University of Maryland, College Park.
[03/2024] Student Travel Award for 2024 SIAM Conference on Imaging Science.
[11/2023] Cohen-Chapin Graduate Student Travel Award.
[03/2022] National Science Foundation (NSF) Mathematical Sciences Graduate Summer Fellowship.