Jun Li, PhD
Associate Professor of Technology and Operations, Ross School of Business
Business
Jun is an Associate Professor at Ross School of Business, University of Michigan. Her work focuses on the use of causal inference and high dimensional statistics to enhance patient outcomes and reduce disparity. She also has a particular interest in improving the wellbeing of children and young adults through better care.
Projects:
Precision Mental Health
University Affiliation(s)
IHPI | MIDAS
Community and Professional Affiliation(s)
INFORMS
Research Area(s)
Health Analytics | Health disparities | Health outcomes | machine learning | patient outcomes | youth well-being and development
Publications
- Looking inward: The impact of operative time on graft survival after liver transplantation
- Are consumers strategic? Structural estimation from the air-travel industry
- Structured introduction of retroperitoneoscopic donor nephrectomy provides a high level of safety and reduces the physical burden for the donor compared to an anterior mini incision: A cohort study
Grants
- Principal investigator of: EAGER: Gaining Visibility into Supply Network Risks with Large-Scale Textual Analysis
- Co-investigator of: Sub-Tier Network Structure Research Collaboration
- Consultant on: BD Hubs: Midwest: �SEEDCorn: Sustainable Enabling Environment for Data Collaboration�