Aditi Krishnapriyan Dept of Chemical & Biomolecular Engineering Division of Computer Science/EECS machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization
Per-Olof Persson Dept of Mathematics applied mathematics, numerical methods, computational fluid and solid mechanics
Jonathan Shewchuk Division of Electrical Engineering/EECS scientific computing, computational geometry (especially mesh generation, numerical robustness, and surface reconstruction), numerical methods, machine learning, physically-based animation
Rachel Slaybaugh Dept of Nuclear Engineering computational methods, high performance computing, neutron transport
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Jasmina L. Vujic Dept of Nuclear Engineering nuclear engineering, numerical methods in reactor physics, neutron and photon transport, reactor core design and analysis, shielding, radiation protection, biomedical application of radiation, optimization techniques for vector, parallel computers
Rui Wang Dept of Chemical & Biomolecular Engineering theoretical polymer, soft materials, electrostatic double layer