I am a computational mathematician and my research interests lie in wielding math to design and analyze computational algorithms. Currently, I’m working on algorithms in uncertainty quantification, machine learning, and optimization. I’ve also been known to write a theorem or two.
Outside of math, I enjoy Dungeons & Dragons / Pathfinder with friends across the continent, playing fighting games, and am very into computers.
Recent News
| Date | Description |
|---|---|
| Apr 2026 | Our paper Robust OED for nonlinear inverse problems has been published in SIAM SISC! |
| Mar 2026 | I’ll be going to Casa Matemática Oaxaca in late May. |
| Mar 2026 | Our preprint Boost Like a (Var)Pro: Trust-Region Gradient Boosting via Variable Projection is on arXiv. |
| Mar 2026 | I’ll be attending WCCM 2026 in Munich this July. |
| Mar 2026 | I’ll be part of the organization of the VERSEIM REU at Tufts this summer. |
Selected Papers
Boost Like a (Var)Pro: Trust-Region Gradient Boosting via Variable Projection Chowdhary, Newman, Verma · arXiv 2603.23658 · 2026
Robust Optimal Experimental Design of Infinite-Dimensional Bayesian Nonlinear Inverse Problems Chowdhary, Attia, Alexanderian · SIAM Journal on Scientific Computing · 2026
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems Chowdhary, Tong, Stadler, Alexanderian · International Journal for Uncertainty Quantification · 2024