Bio

I am an Assistant Professor of Operations Research and Information Engineering at Cornell Tech as part of the Jacobs Institute, and an ORIE, Computer Science, and Information Science field member at Cornell University. I use algorithms, data science, and economics approaches to study democracy, markets, and societal systems at large.

I have received the NSF CAREER, INFORMS George Dantzig Dissertation Award, an honorable mention for the ACM SIGecom dissertation award, Forbes 30 under 30 for Science, the NSF Graduate Research Fellowship, and paper awards including from CSCW, EAAMO, and CHIL. I have spent considerable time collaborating with government agencies and non-profits. My research has been supported by the Sloan Foundation, NSF, NASA, the Cornell Tech Urban Tech Hub, Google, Meta, and Amazon, and other organizations.

My work has 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 an 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. During the 2020 US election cycle, I led data science efforts at PredictWise. I am also involved with EAAMO (formerly MD4SG), most recently as Program co-Chair for 2025.

Third person bio and picture available here.