Dr. Michael Robbins is an Associate Statistician at the RAND Corporation. He worked with NISS as a postdoc from 2009 to 2011, where he worked on a research program for the National Agricultural Statistical Service (NASS).
Prior to his work with NISS, Robbins earned his B.S. degrees in mathematics and economics from Duke University in 2004. He then earned his M.S. and Ph.D. degrees in mathematical sciences from Clemson University. His dissertation focused on change-point detection, Limit Theory and its applications.
As an Associate Statistician with the RAND Corporation, Dr. Robbins’ research has focused on change-point analysis, missing data analysis, survey design, causal inference, time series analysis, multivariate analysis and stochastic processes. He is also heavily invested in the applicability of statistics in economics, environment, health care and defense policy.