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
Aditi Krishnapriyan
