Fernanda Bravo

Fernanda Bravo is an Associate Professor of Decisions, Operations and Technology Management at the University of California, Los Angeles, Anderson School of Management. Her research focuses on health care policy and decision making using contracting theory and operations management modeling. She examines how policies can affect health care delivery and explores ways to improve efficiency and patient outcomes through data-driven models. Bravo teaches operations and technology management to MBA and FEMBA students, as well as health care analytics for MSBA students and a Ph.D. course in supply chain contracting. Her work also includes the design and management of shared mobility systems and the use of machine learning for model analysis.

Fernanda Bravo is an Assistant Professor at the Anderson School of Management, UCLA, specializing in Healthcare Service Operations, Operations Management, and Operations Research. Her research focuses on optimizing healthcare delivery through innovative operations strategies, including contract design, resource allocation, and care coordination. Bravo's work explores how mathematical models and data-driven approaches can improve healthcare access, reduce costs, and enhance patient outcomes. She has published extensively on topics such as shared-savings programs, episode-based reimbursement models, and congestion risk prediction in intensive care units. Her research bridges operations management and healthcare policy, offering practical insights for improving service systems.