ISyE Main Building 327
755 Ferst Dr NW
Atlanta, Georgia 30318
In Fall 2023, I was a PostDoc at the Simons Institute at UC Berkeley for a program in Data Structures and Optimization for Fast Algorithms. In Spring 2023, I was a PostDoc at ICERM at Brown University for a program in Discrete Optimization.
My current research interests are focused on the areas of algorithms, optimization, and game theory.
I am on the 2023/24 academic job market.
|Our paper A strongly polynomial algorithm for linear programs with at most two non-zero entries per row or column got accepted to STOC 2024.
|I am going to serve on the Program Committee of SODA 2025.
|Announced Runner-Up for The Doctoral Award of The Operational Research Society(UK).
|I received the PhD Prize of the Department of Mathematics at LSE.
|I am going to be a long-term participant in Fall 2023 for the Simons Institute program in Data Structures and Optimization for Fast Algorithms.
|I joined ICERM at Brown University for the Spring 2023 term for the program in Discrete Optimization.
|Together with Daniel Dadush we give a mini-symposium On the Role of Circuits in Linear Programming at the SIAM Conference on Optimization (OP23).
|I started a ARC Postdoctoral Fellow position at Georgia Tech, affiliated with ISyE and the College of Computing.
|I passed my PhD Viva with a Thesis titled Exact Linear Programming: Circuits, Curvature, and Diameter.
|Workshop on Combinatorial Optimization in Oberwolfach.
|Reunion for program Discrete Optimization: Mathematics, Algorithms, and Computation at ICERM.
|ISMP 2024 in Montréal, Canada.
|STOC 2024 in Vancouver, Canada.
|Mixed Integer Programming Workshop (MIP 24) at the University of Kentucky.
|INFORMS Optimization Society Conference at Rice University.
|Talk in IEOR Seminar on Nov 20 at UC Berkeley.
- A strongly polynomial algorithm for linear programs with at most two non-zero entries per row or column
- Interior point methods are not worse than Simplex
- A Scaling-Invariant Algorithm for Linear Programming Whose Running Time Depends Only on the Constraint Matrix