Local graph partitioning algorithms, applications of low-rank SDP solvers, and Statistical Physics
Deven Mithal
University of Chicago
Graduate Student
Probability and Geometry, Liouville Quantum Gravity, Spin Glass
Ruimin Zhang
University of Chicago
Graduate Student
Optimization, Learning Theory, Design and analysis of algorithms, Approximation algorithm, Online algorithms
Graduated PhD Students
Erasmo Tani
Postdoctoral Researcher, Sapienza University of Rome
PhD Alum (2024)
Vertex separators, spectral graph theory, Applications of the Burer-Monteiro framework to solving semidefinite programs
Konstantinos Ameranis
Assistant Teaching Professor, Purdue University
PhD Alum (2025)
Algorithms, Graphs, Semidefinite Programming and optimization.
Ryan Allen Robinett
Postdoctoral Researcher, University of Chicago
PhD Alum (2026)
Riemannian Optimization, Manifold Learning
Former Master’s Students
Li (Alex) Wei
University of Chicago
Former Master’s Student
Convex Optimization
Zixin Ding
University of Chicago
Former Master’s 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.
Former Undergraduate Students
Xifan Yu
PhD Student, Yale University
Former Undergraduate Student (2021)
Theoretical Computer Science, Design of approximation algorithms, Interplay between combinatorics, graph theory, computational complexity, and classical mathematics
Yueheng Zhang
PhD Student, ETH Zurich
Former Undergraduate Student (2021)
Local graph algorithms, Diffusion processes on graphs, Fast approximation algorithms via convex optimization