SHE Zhaowei

Dr. SHE Zhaowei is an Assistant Professor of Operations Management at the Lee Kong Chian School of Business, Singapore Management University. She holds a Ph.D. in Operations Research from Georgia Institute of Technology, alongside advanced degrees in Applied Mathematics, Economics, and Mathematics from UIUC and PSU. Her research focuses on healthcare data analytics, causal inference, machine learning, and game-theoretical modeling to improve healthcare services and public health outcomes.

Education:

• Ph.D. in Operations Research, Georgia Tech (2021)
• M.S. in Applied Mathematics, UIUC (2015)
• M.A. in Economics, PSU (2013)
• B.A. in Economics & Mathematics, UIUC (2011)

Research Highlights:

Dr. She has developed novel machine learning algorithms for real-time outbreak detection during the COVID-19 pandemic, now operationalized through a Massachusetts General Hospital website. Her work on healthcare payment models and capitation programs has been recognized as a finalist in major INFORMS competitions. Key contributions include game-theoretical analyses of healthcare risk selection and strategic cross-subsidization, as well as longitudinal studies on public transit usage and obesity.

Awards:

• Finalist for 2023 INFORMS Pierskalla Best Paper Award
• Thos & Clair Muller Fellowship (2021)
• H. Milton Stewart Teaching Fellowship (2020)
• Multiple INFORMS competition recognitions (2018-2023)

Technical Contributions:

Her algorithm for county-level COVID-19 case growth estimation was presented at NeurIPS ML4H and featured on GitHub. Current research integrates causal inference with machine learning for healthcare policy design.