Faculty Profiles

Leonard Wainstein studies statistics and causal inference, and their applications. His methods research focuses on weighting, sensitivity analysis, and clustered data. His applied work has largely been in education — most recently studying the relationships between 12th math course — taking and student outcomes, and between Ethnic Studies course-taking and student outcomes in Los Angeles. Leonard earned his B.A. in Mathematics from the University of Pennsylvania, and his Ph.D. in Statistics from the University of California, Los Angeles (UCLA). He also did a half-year postdoc at UCLA for the Department of Public Policy. Prior to teaching at Reed, he loved being a teacher’s assistant (TA) at UCLA, including being the TA coordinator and co-teaching the UCLA Statistics department’s TA training course in his third year of graduate school.