Cindy Alvarez is a Health Policy PhD student at UC Berkeley’s School of Public Health, with a specialization in Organizations and Management. Her research examines how Medicaid policies and collaboration between providers, health systems, and social service organizations affect health outcomes, access, and utilization. She is interested in applying causal inference and machine learning methods to understand these complex relationships. Prior to starting her PhD, Cindy worked as a researcher at Mathematica, leading projects that explored how to best implement programs and policies to improve health outcomes for children and Medicaid-insured adults. She holds an MPH in Health Policy and a BA in Sociology and History of Science, Medicine, and Public Health, both from Yale University.
Job title:
Berkeley Computational Social Science Fellow
Department:
Health Policy, Public Health, UC Berkeley
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