Bio

I am an Assistant Professor of Operations Research and Information Engineering at Cornell Tech and Cornell University, and an ORIE, Computer Science, and Information Science field member. I use algorithms, data science, and economics approaches to study democracy, markets, and societal systems at large, especially in developing public interest AI systems.

I have received the NSF CAREER, William T. Grant Foundation Scholars Award, 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 and recognitions from EC, INFORMS, CSCW, EAAMO, and CHIL. I have spent considerable time collaborating with government agencies and industry. My research has been supported by the Sloan Foundation, NSF, NASA, Cornell Tech Urban Tech Hub, Google, Meta, Amazon, and other organizations.

My work has been covered in the New York Times, Washington Post, Science Magazine, Smithsonian Magazine (in print), and Cornell and Stanford News, among others.

I received an MS and PhD from Stanford, 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. 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 Chair for EAAMO 2025.

A third-person bio and headshot are available.