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John Nay is co-founder and CEO of Skopos Labs, an A.I. software company, an Affiliate at the Berkman Center at Harvard University, and a Research Fellow at the NYU Information Law Institute. He holds a Ph.D. in Computational Decision Science from Vanderbilt University.

John builds A.I.-powered tools to better predict and understand complex social and environmental systems. He has applied his computational research to policy applications, including natural language processing of legal and regulatory texts, forecasting of policy-making outcomes, computer simulations of trader behavior in prediction markets, machine learning models for predicting human cooperation, and machine learning methods for estimating predictive models of decision-making.

John's research at Berkman and NYU is at the intersection of A.I. and governance. He is exploring automated methods for explaining the "reasoning" behind predictions of complex machine learning models in a way that is meaningful for end-users (policy-makers, the public, other automated systems).