I am an Assistant Professor in the Department of Mathematics at the University of Wisconsin-Whitewater. My research focuses on structure-preserving numerical methods for partial differential equations (PDEs) and particle methods for kinetic equations. I have teaching experience across undergraduate and graduate levels, including Calculus, Differential Equations, Scientific Computing, and Numerical Methods.
Previously, I was a Postdoctoral Associate in the Department of Computational Applied Mathematics and Operations Research at Rice University, and prior to that, I held a Pearson Fellowship in the Department of Applied Mathematics at the University of Washington. I completed my PhD in Applied Mathematics at Iowa State University in 2022.
My broad research interests are Numerical Analysis and Computational Mathematics. Specifically, I am interested in the development and analysis of numerical methods for PDEs, including kinetic equations that model plasma, hyperbolic systems, and PDEs that model computational fluid dynamics.
Link to Google Scholar
James A. Rossmanith and Samuel Q. Van Fleet. “Maximum-Taylor Discontinuous Galerkin Schemes for Linear Hyperbolic Systems”. manuscript in preparation.
Samuel Q. Van Fleet and Jesse Chan. “On the choice of viscous discontinuous Galerkin discretization for entropy correction artificial viscosity methods.” In: arXiv preprint arXiv2602.23210 (2026). url: https://arxiv.org/abs/2602.23210.
Jingwei Hu, Samuel Q. Van Fleet, and Andy T. S. Wan. “Fully Discrete Energy-Dissipative and Conservative Discrete Gradient Particle Methods for a Class of Continuity Equations”. In: SIAM Journal on Scientific Computing 47.3 (2025), A1835–A1857. doi: 10 . 1137 / 24M1674054. eprint: https://doi.org/10.1137/24M1674054. url: https://doi.org/10.1137/24M1674054.
Jos´e A. Carrillo, Jingwei Hu, and Samuel Q. Van Fleet. “A Particle Method for the Multispecies Landau Equation”. In: Acta Applicandae Mathematicae 194.1 (2024), p. doi: 10.1007/s10440-024-00692-9. url: https://doi.org/10.1007/s10440-024-00692-9.
Fall 2026: Math 139 Quantitative and Algebraic Reasoning
Fall 2026: Math 253 Calculus and Analytic Geometry
Spring 2026: CMOR 527 Discontinuous Galerkin Methods
Fall 2025: CMOR 304 Differential Equations in Science and Engineering
Spring 2025: CMOR 304 Differential Equations in Science and Engineering
Fall 2024: CMOR 304 Differential Equations in Science and Engineering
Winter 2024: AMATH 301 Beginning Scientific Computing
Autumn 2023: AMATH 351 Introduction to Differential Equations and Applications
Winter 2023: AMATH 351 Introduction to Differential Equations and Applications
Fall 2022: AMATH 351 Introduction to Differential Equations and Applications
Summer 2021: MATH 114 Calculus II: Techniques of integration; applications of integration; infinite series; parametric/polar equations. (WWW)
Spring 2020: MATH 143 Preparation for Calculus. (WWW)