Elisa Long joined the UCLA Anderson School of Management in 2013, where she is an Associate Professor of Decisions, Operations and Technology 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 the core probability and statistics course for MBA 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 from Cornell.

CV

Research Interests

EPIDEMIC MODELING

QUEUEING APPLICATIONS IN HEALTHCARE

BREAST CANCER ​DECISION-MAKING

COST-EFFECTIVENESS ​ANALYSIS

Education​

PhD, Management Science and Engineering, Stanford University, 2008
MS, Management Science and Engineering, Stanford University, 2005
BS, Operations Research and Industrial Engineering, Cornell University, 2003

Honors and Awards​

UCLA Anderson MBA Teaching Award, 2018
UCLA Anderson Eric and E Juline Faculty Excellence in Research Award, 2018
UCLA Faculty Community Engagement Award, 2018
Poets & Quants Favorite Professor, 2018
Decision Analysis Special Recognition Award, 2017
Poets & Quants Best 40 Under 40 Professors, 2017
Dean George W. Robbins Assistant Professor Teaching Award, 2016
UCLA Faculty Career Development Award, 2015
Seth Bonder Research Fellowship Award, 2015
Stanford University Distinguished Alumni Scholar Award, 2010