Operations Research
Continuous optimization and large-scale algorithms for linear, conic, and nonlinear programs.
Georgia Tech College of Engineering
H. Milton Stewart School of Industrial and Systems Engineering
PhD candidate in Operations Research at Georgia Tech ISyE.
I am advised by Professors Anton J. Kleywegt, Renato D.C. Monteiro, and Dmitrii M. Ostrovskii, and I work closely with Arkadi Nemirovski on theory, complexity analysis, and scalable optimization methods.
Research Group
Advisors and collaborators
I am advised by Anton J. Kleywegt, Renato D.C. Monteiro, and Dmitrii M. Ostrovskii at Georgia Tech ISyE. My recent work also involves collaborations with Arkadi Nemirovski, Diego Cifuentes, Vincent Guigues, Victor Hugo Nascimento, and Arnesh Sujanani.
Current submissions
Research Themes
Theory and complexity
I study the design and complexity of algorithms for linear programming, convex quadratic programming, semidefinite programming, complementarity problems, variational inequalities, and nonlinear convex programming.
Computation and scale
A parallel thread of my work focuses on numerical methods and software for large-scale optimization, including low-rank structure, first-order techniques, and GPU-accelerated solvers.
Recent News
March 2026
Presenting joint work called "Minimax D-Optimal Designs in Generalized Linear Models: Nonasymptotic Theory and Efficient Algorithms" with Dmitrii M. Ostrovskii in the ISyE PhD student Seminar on April 17th.
March 2026
Presenting joint work with Renato D.C. Monteiro in the ISyE PhD seminar on scalable semidefinite programming and inexact proximal point methods.
February 2026
Giving a talk in the Georgia Tech School of Mathematics Stochastics seminar series on April 9th on joint work with Dmitrii M. Ostrovskii.
February 2026
Awarded the Jessie and Ralph W. Pries Fellowship from the Georgia Tech College of Engineering.
September 2025
Looking forward to the SIAM Conference on Optimization 2026 and conversations on semidefinite and nonlinear programming.
September 2025
Hosting a session in the Linear and Conic Optimization track at the INFORMS Optimization Society 2026 meeting.