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
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
Jonathan Shewchuk Division of Electrical Engineering (EECS) scientific computing, computational geometry (especially mesh generation, numerical robustness, surface reconstruction, numerical methods, machine learning, physically-based animation
Paul A. Vojta Dept of Mathematics mathematics, algebraic geometry, diophantine geometry, Nevanlinna theory, Arakelov theory
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
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
Bruno Olshausen Dept of Neuroscience School of Optometry visual perception, computational neuroscience, computational vision
Alexander Givental Dept of Mathematics mathematics, mathematical physics, symplectic geometry, singularities, mirror symmetry
Venkatesan Guruswami Dept of Mathematics Division of Computer Science (EECS) theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity
Ian Agol Dept of Mathematics topology of 3-manifolds, interaction hyperbolic geometry, low-dimensional topology
John Lott
John Lott
John Lott
