Yusuke Narita is an Assistant Professor at Yale University. His research centers around the design of decision-making algorithms in policy and business, with a particular interest in education policy. His work uses a variety of methods such as causal inference, machine learning, economic theory, and structural econometric modeling. His work has been published in journals including Econometrica, AAAI (Association for the Advancement of Artificial Intelligence), American Economic Review, Journal of Economic Theory, Management Science, NeurIPS (Neural Information Processing Systems), and PNAS. He obtained a Ph.D. from MIT and was formally a visiting assistant professor at Stanford University.