Industrial engineering, operations research, and systems engineering are fields of study intended for individuals who are interested in analyzing and formulating abstract models of complex systems with the intention of improving system performance. Unlike traditional disciplines in engineering and the mathematical sciences, the fields address the role of the human decision-maker as key contributor to the inherent complexity of systems and primary benefactor of the analyses.
Georgia Tech pursues leading-edge research with industry, government, and community partners.
At ISyE, we are a national leader in 10 core fields of specialization: Advanced Manufacturing, Analytics and Machine Learning, Applied Probability and Simulation, Data Science and Statistics, Economic Decision Analysis, Energy and Sustainable Systems, Health and Humanitarian Systems, Optimization, Supply Chain Engineering, and Systems Informatics and Control.
ISyE's faculty and staff members strive to provide a world-class educational experience for the Stewart School's undergraduate and graduate students, and to forge long-lasting relationships with ISyE alumni and industry partners. If you have benefited from a connection with an ISyE faculty or staff member, feel free to take a moment to send a thank-you note to that person via this web form.
You can stay in touch with all things ISyE through our news feed, by reading one of our publications, or attending one of our upcoming events. ISyE employs some of the world’s most experienced researchers in their fields who enjoy sharing their perspectives on a wide variety of topics. Our faculty is world-renowned and our students are intellectually curious. Our alumni can be found around the globe in leadership positions within a wide variety of fields.
Lauren Steimle is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Her research interests include operations research and data analytics with applications in medical decision making and public health. Her work has focused on sequential decision-making, decision-making under uncertainty, and computational optimization including Markov decision processes and stochastic programming. She has applied these methods to 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, and the Ford Foundation Predoctoral Fellowship Honorable Mention. Steimle is a member of INFORMS and has served on the INFORMS Subdivisions Council.