Lauren Steimle is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Her research interests include data analytics, optimization, and stochastic modeling with applications 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. She has worked on preventive treatment for type 2 diabetes and cardiovascular disease as well as vaccination decisions for the control of norovirus.
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 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.