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Assistant Director of Analytics, Center for Population Health Sciences

Neil Kamdar, MA

Neil Kamdar is a health services researcher and applied methodologist focused on clinical and policy applications in disabilities research, women’s health, general surgery, and mental health analyses. His work centers on leveraging Medicare, private payer claims (including Health Care Cost Institute [HCCI], MarketScan, OptumInsight, and others), and Medicaid data to understand healthcare cost, utilization, and outcomes. This research has been foundational to the development of large-scale studies on vulnerable populations that have been historically under-served or insufficiently studied within the health services research field.

He currently serves as the Assistant Director of Analytics at the Center for Population Health Sciences at Stanford University, where he leads the development of the American Family Cohort (AFC) data. This primary care registry provides critical insights into clinical outcomes and healthcare utilization, with a particular emphasis on COVID-19 and Long COVID. In this role, he also helps foster cross-disciplinary research collaborations throughout Stanford Medicine, contributing to the Center’s mission to advance population health scholarship.

In addition to his role at Stanford, he holds an appointment at the University of Michigan’s Institute for Healthcare Policy and Innovation. There, he serves as an analytic lead in the development of administrative claims and electronic medical record analyses, contributing to numerous publications in both general and specialty journals.

He has secured funding as a co-investigator through several federal and foundation agencies, including the National Institutes of Health (NIH), Department of Defense (DOD), Agency for Healthcare Research and Quality (AHRQ), and the Neilsen Foundation, with a particular focus on traumatic spinal cord injury. He has also played a key role in supporting Clinical Quality Initiatives (CQIs)—statewide efforts aimed at improving the health and efficiency of hospitals and institutions—with a particular focus on maternal and fetal medicine in the state of Michigan.