About me

I am currently an Assistant Professor in the Department of Mathematics and Statistics at Texas Tech University.


  • Ph.D. in Applied Mathematics (with honors), Tsinghua University, Beijing, China, 07/2018.
    Advisor: Prof. Wen-An Yong
  • B.Sc. in Mathematics, Tsinghua University, Beijing, China, 07/2013.
  • B.Eng. in Engineering Mechanics, Tsinghua University, Beijing, China, 07/2013.

Professional Experience

  • Assistant Professor, Department of Mathematics and Statistics, Texas Tech University, 08/2022 - present.
  • Visiting Assistant Professor, Department of Mathematics, Michigan State University, 09/2018 - 08/2022.
    Mentor: Prof. Yingda Cheng and Prof. Andrew J. Christlieb
  • Visiting Ph.D. student, Division of Applied Mathematics, Brown University, 09/2015 - 09/2016.
    Mentor: Prof. Chi-Wang Shu

Research Interests

Scientific computing, numerical analysis, and scientific machine learning.

  • Machine learning moment closures for kinetic models
  • Adaptive sparse grid discontinuous Galerkin methods for high-dimensional PDEs
  • High-order numerical schemes for hyperbolic equations
  • Boundary schemes of lattice Boltzmann method


  • Sole PI, NSF DMS-2309655, Structure-preserving machine learning moment closures for kinetic equations, 08/2023 - 07/2026.

Research Group

  • Current Ph.D. students:
    • Eric Murray (summer 2023 - ): Machine learning moment closures for radiative transfer equations
  • Current undergraduate students:
    • Harold Margeta-Cacace (spring 2023 - ): Machine learning for solving PDEs
    • James Cash (fall 2023 - ): Conservative moment closures for kinetic equations
  • Past undergraduate students:
    • Nicholas Flores (spring 2023): Implementation of VGG neural network for image classification
      Position after graduation: M.Sc. in Computer Science, Texas Tech University