CEO, Skopos Labs; Research Fellow, Vanderbilt University
John Nay develops machine learning and natural language processing methods to better predict and understand complex systems. He has applied his computational research to law and business applications, including natural language processing of legal and regulatory texts, accurate forecasting of policy-making outcomes, computer simulations of prediction markets, machine learning software for predicting drought globally with satellite data, models for predicting human cooperation, and software for automatically estimating predictive models of decision-making.
John is the CEO of Skopos Labs, Inc. and a Research Fellow at the Program on Law & Innovation at Vanderbilt University. After interning for the Majority Leader of the U.S. House of Representatives and graduating with High Distinction from the University of Virginia, John was awarded a Fulbright Scholarship and ultimately turned it down to start graduate school at Vanderbilt University, where he received a Ph.D. in Computational Decision Science at the School of Engineering. John recently co-founded Skopos Labs, an A.I. software company, with two leading legal technology professors, J.B. Ruhl and Oliver Goodenough.