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Benjamin Smarr is an Associate Professor at the Halicioğlu Data Science Institute, Department of Bioengineering at the University of California, San Diego. He is a NIH fellow and has developed techniques for extracting health performance predictors from repeated, longitudinal physiological measurements. His work historically focused on neuroendocrine control and women's health, including demonstrations of pregnancy detection and outcome prediction, as well as the neural control of ovulation. Smarr emphasizes the importance of circadian rhythms in healthy uterine development. His ongoing projects have received awards from organizations such as the National Science Foundation, the National Institutes of Health, and private entities, and he has founded relationships with patient communities, including the Quantified Self. During the COVID-19 pandemic, he became the technical lead for TemPredict, a global collaboration that combines physiological data, symptom reports, and diagnostic testing to build data models capable of early-onset detection, severity prediction, and recovery monitoring.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).