Published multiple academic papers in areas such as machine-learning interatomic potentials, Ewald summation methods, random batch Gaussian algorithms, and molecular dynamics simulations. Some of the papers are published in journals like Physical Review Letters, Journal of Chemical Theory and Computation, SIAM Journal on Scientific Computing, etc. One paper was selected as Editor’s Suggestion in Physical Review Letters.
Research Experience
Currently an Assistant Research Fellow at Shanghai Jiao Tong University and an Affiliate Flatiron Research Fellow at the Flatiron Institute, part of the Simons Foundation, working with Prof. Shidong Jiang and Leslie Greengard.
Education
Received a PhD in Computational Mathematics from the School of Mathematical Science and the Institute of Natural Sciences at Shanghai Jiao Tong University in 2023, advised by Prof. Zhenli Xu; obtained a B.S. in Mathematics from Zhiyuan College (Zhiyuan Honors Program) in 2017.
Background
Research interests lie in computational mathematics and computational physics, with a focus on developing fast algorithms and machine learning interatomic potentials for long-range systems, kernel-independent functional approximations, numerical solutions of PDEs, and their high-performance implementations.