CV

Education and experience

B.Tech. in Computer Science and Engineering, Indian Institute of Technology Delhi, 2015–2019
Research Scientist Intern, Amazon, Seattle, May-August 2024
Visiting Student at Sloan School, Massachusetts Institute of Technology, August-December 2024
Ph.D. in Algorithms, Combinatorics and Optimization, Georgia Tech, 2021–2025
Postdoctoral Fellow at Tepper School of Business, Carnegie Mellon University, January 2026-present

See the Publications page for the full list.

Applied Science Intern at Amazon, Summer 2024
- Worked on a project to integrate simulation-based predictions with machine learning predictions.
Paper reviews for conferences and journals including FOCS, STOC, SODA, NeurIPS, ITCS, IPCO, APPROX, ACDA, Math Programming, Operations Research, and SIDMA.
Session co-chair on Discrete Optimization with Swati Gupta at INFORMS 2023.
Research Assistant at Georgia Institute of Technology (January 2021 – present)
Research Assistant at Duke University Computer Science Department, Summer 2018
- Advisors: Dr. Debmalya Panigrahi, Dr. Rong Ge

Bridging Theory and Practice for Balancing Notions of Equity with Small Portfolios at INFORMS 2024
Portfolio Approximations and Fairness in Combinatorial Optimization at INFORMS 2023
Which L_p norm is the fairest? Approximations for fair facility location across all “p” at EC 2023
Fairness Objectives in Facility Location Problems at INFORMS 2022

Poster on Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes received honorable mention for best poster at Mixed Integer Programming (MIP) 2022; joint work with Hassan Mortagy and Swati Gupta.
ARC-ACO fellowship at Georgia Tech for Spring 2023: this is jointly awarded by the Algorithms and Randomness Center and the Algorithms, Combinatorics, and Optimization program at Georgia Tech each year.