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: A Structural Estimate-then-Optimize Approach to Improve Access to Healthcare Services [Appendix]
Fernanda Bravo, Ashvin Gandhi, Jingyuan Hu, Elisa F. Long
Management Science, 2025
​     featured in UCLA Anderson Review