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Professor Pengyi Shi joined Purdue University's Daniels School of Business in January 2014 as an Associate Professor in Operations Management. His research primarily focuses on building data-driven, high-fidelity models and developing predictive and prescriptive analytics to support decision-making under uncertainty in healthcare service systems. Significant streams of his research include developing patient flow models and improving hospital operations and patient outcomes. Shi's expertise has been instrumental during the COVID-19 pandemic, where he applied his research to support inpatient discharge management in Indiana's hospital systems. He has utilized a range of methodologies, including stochastic models, queueing theory, Markov decision processes, and various machine learning techniques to address complexities in healthcare. He has also initiated projects aimed at innovating operations in the criminal justice system through predictive tools. His work has garnered attention and funding for addressing pressing issues such as the nursing shortage and youth substance abuse crisis in diverse communities.
Purdue University Krannert School of Management • West Lafayette, IN
Teaching and researching operations management with a focus on healthcare and data-driven decision making.
GRE is not required.