About Me

Lauren N. Steimle
Ph.D. Candidate
Industrial and Operations Engineering
University of Michigan

Lauren Steimle is a Ph.D. candidate in Industrial and Operations Engineering at the University of Michigan. She is fascinated by optimal decision-making under uncertainty and is motivated by innovating solutions to challenging problems in healthcare. She is currently working with Dr. Brian Denton to design optimization algorithms that can improve medical decision making. Her primary research focus is on improving treatment recommendations to prevent cardiovascular disease by using Markov decision processes, stochastic programming, and robust optimization.

Steimle 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 an Honorable Mention for the Ford Foundation Predoctoral Fellowship. She has served as President of the University of Michigan’s INFORMS Student Chapter and as Outreach Officer of the Graduate Society of Women Engineers. Steimle earned her M.S.E. in Industrial and Operations Engineering from the University of Michigan in 2016 and holds a B.S. in Systems Science and Engineering from Washington University in St. Louis.