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.
- 5/2023: I presented at the IISE Annual Conference and was awarded the IISE Transactions Best Paper in the Focus Issue on Operations Engineering and Analytics for my paper “Decomposition methods for solving Markov decision processes with multiple models of the parameters”
- 5/2023: Check out this new paper, “Empirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses” now online at Frontiers in Digital Health.
- 4/2023: Ph.D. student Jingyu Li received the David Cowan Scholarship from the Georgia Chapter of HIMSS. Congrats, Jingyu!
- 4/2023: Ph.D. Student Abel Sapirstein was selected as an Awardee for both the National Science Foundation Graduate Research Fellowship (NSF GRFP) and the National Defense Science and Engineering (NDSEG) Fellowship. Congratulations, Abel!
- 12/16/2022: I will be giving a talk in the INFORMS Junior Faculty Interest Group Early Career Webinar Series. You can see the details and RSVP here.
- 10/2022: Selected as a Finalist in the INFORMS Service Science Best Cluster Paper Competition for our paper “Multicriteria Course Mode Selection and Classroom Assignment Under Sudden Space Scarcity” at the 2022 INFORMS Annual Meeting.
- 10/2022: Ph.D. Student Meghan Meredith was awarded First Place in the Minority Issues Forum Poster Competition at the 2022 INFORMS Annual Meeting for her poster “Data Science Models for the Prediction of Adverse Maternal Outcomes”. Congratulations, Meghan!
- 9/2022: New paper with Jingyu Li and collaborators at Emory: Frequency and Correlates of Suicide Behaviors in Treatment-Seeking Post-9/11 Veterans is now online at Journal of Psychiatric Research.
- 8/2022: New pre-print with Abel Sapirestein and Arthi Rao: Alignment of Community Benefit Spending and Initiatives to Improve Community Health: Is There Evidence of Progress? now online
- 7/2022: New paper with Mehran Navabi-Shirazi, Mohamed El Tonbari, Natashia Boland, and Dima Nazzal, “Multicriteria Course Mode Selection and Classroom Assignment Under Sudden Space Scarcity” now online at MSOM.
- 5/2022: New paper with April Yu and Pinar Keskinocak, “The Impact of Testing Capacity and Compliance with Isolation on Covid-19: A Mathematical Modeling Study“, was accepted at AJPM Focus and is now available online.
- 4/2022: Undergraduate researcher Madeleine Pollack was awarded ISyE Outstanding Undergraduate Researcher and 2nd Place College of Engineering Oral Presentation at the Georgia Tech Undergraduate Research Symposium. Congratulations, Madeleine!
- 4/2022: Ph.D. Student Meghan Meredith was awarded the NSF Graduate Research Fellowship. Congratulations, Meghan!
- 3/2022: New working paper with Madeleine Pollack posted online: The Implications of State Aggregation in Markov Decision Processes for Medical Decision Making
- 2/2022: Paper with Ph.D. student Yuming Sun and collaborators, “Students’ preferences for returning to colleges and universities during the COVID-19 pandemic: A discrete choice experiment” was accepted for publication at Socio-Economic Planning Sciences.