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
Paul A. Vojta Dept of Mathematics mathematics, algebraic geometry, diophantine geometry, Nevanlinna theory, Arakelov theory
Fraydoun Rezakhanlou Dept of Mathematics mathematics, probability theory, partial differential equations
Michael Hutchings Dept of Mathematics mathematics, symplectic geometry, contact geometry, low dimensional topology, dynamics
Marc A. Rieffel Dept of Mathematics mathematics, operator algebras, non-commutative geometry, non-commutative harmonic analysis, quantum geometry, quantum information theory
Sunčica Čanić Dept of Mathematics applied mathematics, partial differential equations, computational methods, biomedical research
Franziska Weber Dept of Mathematics applied mathematics, mathematical analysis, numerical analysis, nonlinear partial differential equations
Mark Haiman Dept of Mathematics mathematics, algebraic geometry, algebra, combinatorics, diagonal coinvariants, Hilbert schemes
Nikhil Srivastava Dept of Mathematics theoretical computer science, random matrices, geometry of polynomials
Sara McMains Dept of Mechanical Engineering geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, Deep Learning
Alexander Givental Dept of Mathematics mathematics, mathematical physics, symplectic geometry, singularities, mirror symmetry