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