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
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Rui Wang Dept of Chemical & Biomolecular Engineering theoretical polymer, soft materials, electrostatic double layer
Franziska Weber Dept of Mathematics applied mathematics, mathematical analysis, numerical analysis, nonlinear partial differential equations