Pengyi Shi

Professor Shi joined Krannert School of Management in January 2014. She is an Associate Professor of Operations Management at the Krannert. She is also an affiliate faculty of the Regenstrief Center for Healthcare Engineering and the Integrative Data Science Initiative. She received her Ph.D. Degree from the School of Industrial and Systems Engineering at Georgia Institute of Technology before joining Purdue.

Professor Shi's research focuses on building data-driven, high fidelity models and developing predictive and prescriptive analytics to support decisions making under uncertainty in healthcare and service systems. One of her main research streams is to develop patient flow models to improve hospital operations and patient outcomes. This stream of research has been implemented as tools for supporting inpatient discharge management and for supporting COVID-19 response in the hospital systems in Indiana. Recently, she has started working on developing predictive and operations tools for the criminal justice system.

Her research methodologies include stochastic models, queueing theory, Markov decision process, machine learning, reinforcement learning, and online learning. See her full publications at https://web.ics.purdue.edu/~shi178/