Lauren Steimle is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Her research interests include operations research and data analytics with applications in medical decision making and public health. Her work has focused on sequential decision-making, decision-making under uncertainty, and computational optimization including Markov decision processes and stochastic programming. She has applied these methods to a variety of clinical and public health contexts including maternal health, behavioral health, poliovirus, cardiovascular disease, norovirus, and COVID-19.
Steimle received her Ph.D. and M.S.E. in Industrial and Operations Engineering from the University of Michigan and her 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 Ford Foundation Predoctoral Fellowship Honorable Mention. Steimle is a member of INFORMS and has served on the INFORMS Subdivisions Council.