Michael Higgins

Dr. Michael Higgins is Associate Professor of Statistics at Kansas State University. He holds Ph.D. from University of California, Berkeley (2013) and B.S. from Kansas State University (2006). His methodological research develops causal inference frameworks, experimental designs, and nonparametric approaches for social science applications.

Research integrates computational statistics with applied mathematical techniques, particularly integer programming for design optimization. Teaching focuses on mathematical statistics, survey methodology, and statistical computing. Consulting collaborations address experimental design challenges in social and behavioral sciences.