Hi! I'm an assistant professor of Operations Research and Information Engineering (ORIE) at Cornell Tech and the Technion, as part of the Jacobs Technion-Cornell Institute, and an ORIE, Computer Science, and Information Science field member at Cornell University.

My research is at the intersection of computer science, economics, and operations -- on the application of algorithms, data science/machine learning, and mechanism design to the study of democracy, online markets, and societal systems at large. I'm particularly interested in using these techniques to audit and design more equitable systems. Things I've worked on include gerrymandering, surge pricing, rating systems, how to vote on budgets, the role of testing in college admissions, stereotypes in word embeddings, and polarization on Twitter.

My work has received several awards, including the INFORMS George Dantzig Dissertation award, ACM SIGecom Dissertation Award (Honorable Mention), and the M&SOM Student Paper Award (2nd place). My work has also been covered in the New York Times, Washington Post, Science Magazine, Smithsonian Magazine (in print), Stanford Engineering magazine, and Stanford News, among others.

I received a MS and PhD from Stanford in 2020, where I was lucky to be advised by Ashish Goel and Ramesh Johari and was part of the Stanford Crowdsourced Democracy Team and the Society and Algorithms Lab, after which I was a post-doc at UC Berkeley EECS. Before that, I graduated with a BS and BA from the University of Texas at Austin in 2015. I like to have first-hand practical experience in a domain before tackling research questions, and have built real systems (including for participatory budgeting and at NASA, Uber, and Upwork). I am senior scientific advisor to PredictWise, where I led data science efforts during the 2020 US election cycle. I am also co-lead of working groups for MD4SG.

Contact me at ngarg@REMOVETHIScornell.REMOVETHISedu.

Cornell Students: I'm looking to work with PhD students, especially across ORIE, CS, IS, and Johnson. Please reach out if you think we may have shared interests (whether you are in Ithaca or NYC) -- my ideal student is excited about using technical tools (whether theoretical or empirical) to study societal systems. I'll be teaching a PhD seminar (accessible at both Ithaca and NYC) in Spring 2022. If you have not yet been admitted, apply to one of the above departments and indicate your interest by noting my name in your application materials. I am also happy to chat with undergraduates looking to get involved in research.

What's new

April 2022 New paper online, "Equity in Resident Crowdsourcing: Measuring Under-reporting without Ground Truth Data."
April 2022 Two papers accepted to FAccT`22!
Mar 2022 Upcoming talks at NYC Open Data Week, Columbia DSI, U. Pittsburgh, C3.ai
Jan 2022 "Strategic Ranking" accepted to AISTATS`22!
Oct 2021 Paper with Hannah Li and Faidra Monachou won Best Student Paper award at ACM EAAMO`21. They're both on the academic job market this year -- hire them!
Sept 2021 The Cornell Chronicle wrote a piece about our gerrymandering work.
Sept 2021 I'm teaching a new master's level course (for ORIE/CS/IS/Urban Tech/etc), People, Data, and Systems. Lecture videos are publicly available on YouTube.
Sept 2021 Upcoming (virtual) talks at Duke, ETH Zurich, Columbia, and (in-person!) at INFORMS and USC.
Aug 2021 Three papers accepted to ACM EAAMO`21!
July 2021 New paper online, "Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts."
June 2021 New papers!, "Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps," "The Stereotyping Problem in Collaboratively Filtered Recommender Systems," and "Strategic Ranking."
April 2021 Received honorable mention for the ACM SIGecom dissertation award!
April 2021 Co-organizing Workshop on Operations of People-Centric Systems at EC`21. Please submit!