Office: IOE 2815

Email: steimle [at] umich [dot] edu

Lauren N. Steimle

Research Fellow, Industrial and Operations Engineering, University of Michigan

PhD, Industrial and Operations Engineering, University of Michigan, 2019

MSE, Industrial and Operations Engineering, University of Michigan, 2016

BS, Systems Science and Engineering, Washington University in St. Louis, 2014


Lauren Steimle is a Research Fellow in the Department of Industrial and Operations Engineering at the University of Michigan. Her research interests include data analytics, optimization, and stochastic modeling with applications in public health and medical decision making. Her work has focused on sequential decision-making, decision-making under uncertainty and computational optimization including risk modeling, Markov decision processes, and stochastic programming. Her research has been applied to the management of chronic diseases including the design of treatment guidelines for type 2 diabetes and cardiovascular disease.

Steimle received her Ph.D. in Industrial and Operations Engineering from the University of Michigan and her M.S.E. in Industrial and Operations Engineering from the University of Michigan. She has a B.S. in Systems Science and Engineering from Washington University in St. Louis. She is the recipient of the National Science Foundation Graduate Student Research Fellowship, a member of the third-place team in the New England Journal of Medicine’s SPRINT Data Challenge, and the winner of the Social Impact Award from the Engineering Graduate Symposium at the University of Michigan. Steimle is a member of INFORMS and has served on the INFORMS Subdivisions Council .

In January 2020, Lauren will join Georgia Tech as an Assistant Professor in the School of Industrial and Systems Engineering .