About Me
I am a postdoctoral research associate in the Department of Computational Mathematics, Science and Engineering at Michigan State University, working with Prof. Andrew J. Christlieb.
I received my Ph.D. in Mathematics from Missouri University of Science and Technology in 2024, advised by Prof. Yanzhi Zhang. My research focuses on numerical methods for kinetic equations, shallow-water moment models, scientific machine learning, and nonlocal and fractional partial differential equations.
News
Upcoming: Hyperbolic Machine Learning Moment Closures for the Vlasov–Poisson–BGK Equations at the 2026 SIAM New York–New Jersey–Pennsylvania Section Conference (NNP26), Rutgers University, New Brunswick, New Jersey.
Upcoming: Hyperbolic Machine Learning Moment Closures for the Vlasov–Poisson–BGK Equations at the SIAM Conference on Computational Science and Engineering (CSE27), Pittsburgh, Pennsylvania.
Our paper, Moment-enhanced shallow water equations with an effective wall closure for no-slip bottoms, has been accepted for publication in the Journal of Computational Physics.
Presented A Deterministic Particle Method for the Relativistic Landau Equation at the SIAM Annual Meeting in Cleveland, Ohio.
Presented A deterministic particle method for the relativistic Landau equation at Midwest Numerical Analysis Day, University of Notre Dame.