Nikhil Garg is an Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion. He is a member of the Operations Research and Information Engineering field at Cornell University. His research interest is the application of algorithms, data science, and mechanism design to the study of democracy, markets, and societal systems at large. He received his PhD from Stanford University in 2020, where he was part of the Society and Algorithms Lab and Stanford Crowdsourced Democracy Team. He has spent time at Uber, NASA, Microsoft, the Texas Senate, and IEEE’s policy arm, and most recently was the Principal Data Scientist at PredictWise, which provides election analytics for political campaigns.