I am an Assistant Professor in the Department of Applied Economics at the University of Minnesota. My research uses both theoretical and empirical approaches to study responses of firms to both environmental policy and uncertainty. Topically, I am interested primarily in fisheries, induced innovation, and renewable energy. Methodologically, I am increasingly interested in adaptation of machine learning methods to economic questions.
Prior to beginning work as an environmental and natural resource economist, I studied Computer Science at Stanford University and worked as a Product Manager at Google (including launching the ocean features in Google Earth).
S. Miller, A. Rassweiler, L. Dee, K. Kleisner, T. Mangin, R. Oliveros-Ramos, J. Tam, F. Chavez, M. Ñiquen, S.E. Lester, M. Burden, S. Gaines, and C. Costello. Optimal harvest responses to environmental forecasts depend on resource knowledge and how it can be used. Forthcoming at Canadian Journal of Fisheries and Aquatic Sciences.