Edward Wu started as the ASA science policy fellow in September, becoming the fourth person to hold the position. He applied for the fellowship because he wants the opportunity to influence policymakers in a world where he says data literacy has become increasingly important. He noted a special interest in having the opportunity to answer difficult questions and guide policy using statistical methods and data analysis.
Wu completed his PhD this summer under the supervision of Johann Gagnon-Bartsch at the University of Michigan. He previously worked as an analyst for an economic consulting firm in New York City, after completing his BA at Columbia University, where he majored in statistics and mathematics.
Wu’s doctoral research focused on developing methods for analyzing randomized experiments with applications to education and public policy. His research interests include causal inference, machine learning, and high-dimensional classification.
Wu is excited to join the Washington, DC, statistical community and work at the intersection of statistics and public policy. In his free time, he enjoys playing the cello. He also loves trying new ice cream shops and is an avid fan of the Philadelphia Phillies.
Leave a Reply