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New Krannert Faculty 2019
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join Dean Hummels in welcoming our newest faculty

Krannert Faculty

Pengyi Shi

Pengyi Shi

Associate Professor of Management

CV

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 modelsqueueing theoryMarkov decision processmachine learningreinforcement learning, and online learning. See her full publications at https://web.ics.purdue.edu/~shi178/

  • hospital patient in hallroom

    No Room in the Hospital? An Analytical Tool Helps Doctors Decide Which Patients to Discharge

    The COVID-19 pandemic has put immense stress on hospitals around the country, many of them struggling to provide enough beds to accommodate the surge in patients. To create room for all these new patients, hospitals have been forced to discharge existing patients earlier than expected. Sending them home early alleviates overcrowding and reduces costs, but it may put their health at risk, increasing the chances that they'll be back in hospital beds within a few weeks.

    Full story: No Room in the Hospital? An Analytical Tool Helps Doctors Decide Which Patients to Discharge

  • Reducing Hospital Readmissions

    Professor Pengyi Shi on using data analytics to reduce hospital readmissions and congestion

  • ESC awards grant to Krannert faculty member for community-based research on criminal justice system

    The Engagement Scholarship Consortium (ESC) has awarded Krannert Associate Professor Pengyi Shi a seed grant for her proposal titled “A Community Approach for Racial Justice: Decision Analytics Using Fair Machine Learning and Optimization.” 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.

    Full story: ESC awards grant to Krannert faculty member for community-based research on criminal justice system

  • IU Health Arnett Hospital
    Krannert and Kelley business schools collaborating to help IU Health manage surge of Covid-19 patients
    Faculty at two of Indiana’s leading business schools at Indiana and Purdue universities are collaborating on a project with IU Health to help the healthcare provider manage the COVID-19 demand surge in their 16 hospitals across five regions of the state. Pengyi Shi, assistant professor of supply chain and operations management at Krannert, led the patient-flow workload team.

Contact

shi178@purdue.edu
Phone: (765) 494-0458
Office: KRAN 472

Quick links

Personal website

Area(s) of Expertise

Healthcare Operations, Stochastic Systems, Data-driven Analytics