Sarah Marquis, Ph.D.

Sarah Marquis, Ph.D., is an adjunct assistant professor in the Mathematics Department at Milwaukee School of Engineering, where she teaches probability and statistics. She holds a doctorate in statistics and applied probability from the University of California, Santa Barbara.

Her academic work focuses on statistical methods for clustered and longitudinal data, with particular attention to binary outcomes, repeated measures and psychometric analysis. Her doctoral research examined cluster-robust variance estimators for binary observations in heterogeneous groups and their application to psychometric analyses of repeated measures.

Marquis’s research incorporates classical test theory, item response theory, Rasch measurement and generalized estimating equations. Her dissertation developed and evaluated bias-adjusted methods for improving statistical inference in highly heterogeneous and unbalanced clustered settings.

Before joining Milwaukee School of Engineering, Marquis served as a teaching associate and teaching assistant at UC Santa Barbara and worked as a researcher with Modus Outcomes.