Peter Maldonado is a Nonresident Affiliate at RegLab. His research interests include machine learning and causal inference methods to improve the design and evaluation of policy. He received his B.S. and M.S. from Stanford with distinction, where he studied applied math and computer science. Before joining the RegLab, Peter worked on quantitative problems in energy, health, transportation, and robotics.