Lauren N. Steimle

Lauren Steimle is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Her research interests include predictive modeling, optimization, and stochastic modeling motivated by problems arising in public health and medical decision-making. She is especially interested in operations research methodologies for sequential decision-making, decision-making under uncertainty, and computational optimization including risk modeling, Markov decision processes, and stochastic programming.  Her work has spanned 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, a Finalist in the INFORMS Service Science Best Cluster Paper competition, 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.

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