Elisa Long is Professor of Decisions, Operations and Technology Management at the UCLA Anderson School of Management. Her research concentrates on healthcare operations management and entails developing data-driven mathematical models of healthcare policies or systems. The primary aim is to improve medical decision-making under uncertainty and ultimately to strengthen the efficiency and quality of healthcare delivery.

​At UCLA, she teaches core Data & Decisions for MBA students, and Healthcare Analytics for MBA and MSBA students. She was previously a faculty member at the Yale School of Management, and she received a PhD in Management Science & Engineering from Stanford and a BS in Operations Research & Industrial Engineering from Cornell.

CV

Recent Papers

​Closer to Home: An Estimate-then-Optimize Approach to Improve Access to Healthcare Services
Fernanda Bravo, Ashvin Gandhi, Jingyuan Hu, Elisa F. Long
Working Paper, 2024
​     featured in UCLA Anderson Review

​Nursing Home Staff Networks and COVID-19 [Appendix]
M. Keith Chen, Judith A. Chevalier, Elisa F. Long
Proceedings of the National Academy of Sciences, 2021
     featured in NPR, New York Times, UCLA Anderson Review, The New Yorker, How the World Works Podcast

Flexible Drug Approval Policies [Appendix]
Fernanda Bravo, Taylor C. Corcoran, Elisa F. Long
Manufacturing & Service Operations Management, 2021

• First place, 2018 INFORMS Public Sector OR Paper Competition
• Third place, 2019 POMS Healthcare Paper Competition
• Finalist, 2018 Pierskalla Best Paper Award
• Finalist, 2018 M&SOM Student Paper Competition

​​​     featured in UCLA Anderson Review

​Political Storms: Emergent Partisan Skepticism of Hurricane Risks [Appendix]
Elisa F. Long, M. Keith Chen, Ryne Rohla
Science Advances, 2020
​     featured in Scientific American, Popular Science, Newsweek, Axios, UCLA Anderson Review