Local graph partitioning algorithms, applications of low-rank SDP solvers, and Statistical Physics
Erasmo Tani
University of Chicago
Graduate Student
Vertex separators, spectral graph theory, Applications of the Burer-Monteiro framework to solving semidefinite programs
Konstantinos Ameranis
University of Chicago
Graduate Student
Algorithms, Graphs, Semidefinite Programming and optimization.
Li (Alex) Wei
University of Chicago
Graduate Student
Convex Optimization
Ruimin Zhang
University of Chicago
Graduate Student
Optimization, Learning Theory, Design and analysis of algorithms, Approximation algorithm, Online algorithms
Ryan Allen Robinett
University of Chicago
Graduate Student
Riemannian Optimization, Manifold Learning
Zixin Ding
University of Chicago
Graduate Student
First order optimization algorithms interpreted under calculus of variations., Using classical mathematical or physical theory to design scalable algorithms for a broad range of optimization problems.
Undergraduate / Masters Students
Isabella Declue
University of Chicago
Undergraduate Student
Riemannian Optimization, Manifold Learning
Xifan Yu
University of Chicago
Undergraduate Student
Theoretical Computer Science, Design of approximation algorithms, Interplay between combinatorics, graph theory, computational complexity, and classical mathematics
Yueheng Zhang
University of Chicago
Undergraduate Student
Local graph algorithms, Diffusion processes on graphs, Fast approximation algorithms via convex optimization