I’m currently a doctoral candidate at the Operations Research Center (ORC) and Laboratory of Information and Decision Systems (LIDS), MIT. I am delighted to have Michel Goemans and Patrick Jaillet as my advisors. Prior to coming to MIT, I majored in Computer Science and Engineering (CSE) for my bachelors and masters at IIT Delhi. My research interests are broadly in
- combinatorial, convex and robust optimization with applications in online learning and data-driven decision-making under partial information (here’s a LIDS article about some of this work),
- optimization with applications in pricing and revenue management, inventory routing and machine learning (here’s a Huffington Post article about some of our work on pricing),
- strategic behavior, fairness and “unintended” bias in decisions (a growing list of problems identified in current learning and optimization methods and the data they use)
List of collaborators: Michel Goemans, Patrick Jaillet, Dimitris Bertsimas, Georgia Perakis, Naveen Garg, Amitabha Tripathi, Martin Demaine, Kristen LeFevre, Atul Prakash, Maxime Cohen, John Silberholz, Iain Dunning, Joel Tay, Jeremy Kalas, Nishita Agarwal, Thulasi J Rangan.
I will join as an assistant professor in the Industrial & Systems Engineering department of Georgia Institute of Technology, starting Fall 2018! I am happy to talk with enthusiastic prospective graduate students interested in Operations Research or the ACO program at Georgia Tech.
I got a Research Fellowship from the Simons Institute for the Theory of Computing for the academic year 2017-18!
Our paper on “Newton’s Method for Parametric Submodular Function Minimization” got accepted for IPCO 2017!
I am looking forward to attending a short winter course at the Harvard Law School on Internet & Society: The Technologies and Politics of Control, taught by Jonathan Zittrain and Joi Ito!
What works best when? A Framework for Systematic Heuristic Evaluation (with John Silberholz, Iain Dunning) received a special recognition by INFORMS Computing Society in 2016 as a part of the student paper competition!
An Efficient Algorithm for Dynamic Pricing using a Graphical Representation (with Maxime Cohen, Jeremy Kalas, Georgia Perakis) is a Finalist in the INFORMS Service Science Section student paper award 2016!