About me
I am currently an Assistant Professor in the Department of Mathematics and Statistics at Texas Tech University.
Education
- 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
Awards
- 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
- Nicholas Flores (spring 2023): Implementation of VGG neural network for image classification