
About
Andrew Christlieb is the MSU Foundation Professor in the Department of Computational Mathematics, Science and Engineering (CMSE), with affiliations in both the College of Engineering and the College of Natural Science at Michigan State University. His research focuses on advanced numerical methods for plasma physics, kinetic theory, and high-order computational techniques. He has contributed extensively to particle-in-cell (PIC) methods, semi-Lagrangian schemes, and machine learning-driven approaches for solving complex physical systems.
Research Interests:
- Development and analysis of high-order numerical methods for PDEs
- Plasma dynamics and magnetohydrodynamics (MHD)
- Data-driven modeling of kinetic systems
- Efficient solvers for radiative transfer and Vlasov equations
Recent Work: Recent publications emphasize kernel-based methods, adaptive-rank algorithms, and machine learning for hyperbolic systems. His work bridges computational mathematics with applications in plasma physics, astrophysics, and engineering.
Labs/Teams: As a leader in CMSE, he collaborates with interdisciplinary teams on projects involving scientific computing and computational plasma physics.
Grants/Advising: His research is supported by grants focusing on scalable algorithms and hybrid methods. While specific advising details are not listed, his work involves mentoring graduate students in computational science.
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