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Yanmin Zhu, Ph.D.

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Overview
I am a pharmacoepidemiologist with a special focus on (i) studying the determinants of maternal and newborn health; (ii) examining the utilization and outcomes of existing and new prescription medications in pregnant women and their offspring using large pregnancy cohorts established through linkages within and across multiple healthcare utilization databases, including claims databases, state Birth Certificate records, as well as electronic health records; and (iii) developing and validating innovative methodologies to advance research in perinatal and pediatric pharmacoepidemiology.

I have extensive experience in the creation of large pregnancy and pediatric cohorts. I have developed and validated gestational age algorithms using machine learning approaches using the Medicaid-BC linked pregnancy cohort, as well as algorithms to identify pregnancy losses and estimate gestational age using electronic health records. These established methods largely enhance the usability of large healthcare utilization databases for causal inference studies in pregnant women and their offspring.

Research
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. R03AI178363 (ZHU, YANMIN) Jan 24, 2024 - Nov 30, 2025
    NIH
    Clinically Recognized Congenital Cytomegalovirus Infection and Risk of Long-Term Neurologic and Non-neurologic Complications: Evidence from a Nationwide Cohort
    Role: Principal Investigator
  2. R01HD107759 (ZHU, YANMIN) Sep 2, 2022 - May 31, 2027
    NIH
    Comparative Safety of Antibiotics for Common Bacterial Infections During Pregnancy
    Role: Principal Investigator

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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.