Lauren Steimle

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Lauren Steimle is a Research Fellow in the Department of Industrial and Operations Engineering at the University of Michigan. Her research interests include operations research and data analytics with applications in public health. Her work has focused on sequential decision-making, decision-making under uncertainty, and computational optimization including Markov decision processes and stochastic programming.

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.

On January 1, 2020 she will join ISyE at Georgia Tech as a tenure-track Assistant Professor.

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