Presented By: U-M Industrial & Operations Engineering
Ph.D. Defense: Kati Moug
Sequential Decision Making in Crisis: Mitigating Risk in Marginalized Communities with Stochastic Optimization
Kati Moug is a PhD student interested in applying optimization methods and data analytics to systems engineering problems with social impact. Her research focus is on stochastic optimization, ensuring reliable and resilient solutions under conditions of uncertainty. The application areas that she examines include transportation, health care, and criminal justice. Her goal is to consider how community needs can be met with innovative systems that emphasize efficiency, robustness, and equity.
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