About

I work at the intersection of artificial intelligence and computational mathematics, developing reliable and efficient methods for complex systems.

Education

• Ph.D. in Mathematics
  Texas A&M University, 2019
  Advisors: Yalchin Efendiev and Eric T. Chung
• B.Sc. in Mathematics
  Jilin University, 2014

Postdoctoral training

• Phillip Griffiths Assistant Research Professor
  Duke University, 2019–2022
  Mentor: Jianfeng Lu
• Postdoctoral Research Associate
  ICERM, Brown University, January–May 2020

News

1. June 14–25, 2027Upcoming

   I am co-organizing the 2027 Gene Golub SIAM Summer School on Nonlinear Solvers and Preconditioning Techniques for Multiphysics PDEs.
   Corpus Christi, Texas

2. July 2026

   Awarded NSF DMS-2603912 as PI: A Learning-Augmented Framework for Multi-Level Multiscale Modeling.
   US$199,000 · July 2026–June 2029

3. June 2026

   Awarded NSF DMS-2608740 as PI: Energy-Stable Neural Basis Methods for Multiscale Porous Media Flow.
   US$300,000 · June 2026–May 2029

Earlier news (2)

1. March 30, 2026

   The CBMS conference I co-organized at the University of Houston was featured in SIAM News.

2. June 2025

   Awarded NSF DMS-2430460 as Co-PI for the CBMS Conference: Research at the Interface of Applied Mathematics and Machine Learning.
   US$42,244 · June 2025–May 2026