About
I am a Ph.D. student in Algorithms, Combinatorics, and Optimization (ACO) at Georgia Tech, working with Prof. Nikolaos Sahinidis.
Research Interests
My research interests are in randomized methods for algorithms and optimization. I am particularly interested in how randomization can replace deterministic or discrete decisions with distributions, leading to tractable expected objectives, relaxation-based algorithms, and sampling procedures. Examples include randomized rounding, randomized prediction in online learning, and multilinear relaxations in submodular optimization.
Current Work
My current work focuses on symbolic regression through mixed-integer nonlinear optimization. I develop expression-tree formulations and use randomized rounding to recover symbolic expressions from continuous relaxations. I am also interested in formulation strength, numerical stability, and how variable bounds affect the quality of randomized-rounding probabilities.
Parallel and High-Performance Computing
I have experience in high-performance computing and low-level systems implementation, including CUDA programming, SIMD-based numerical routines, lock-free data structures, and C++ infrastructure for quantitative finance. I am interested in parallel implementations of randomized algorithms, where independent samples can often be generated and evaluated with little communication.
Talks
- Randomized Rounding for Symbolic Regression
- INFORMS Annual Meeting, 2025
- INFORMS Optimization Society Conference, 2026