I am Associate Professor and Director of Graduate Studies for the PhD Program in the Department of Epidemiology at the Rollins School of Public Health, Emory University. I have a PhD in Epidemiology and Biostatistics, with expertise in causal inference, machine learning, and artificial intelligence methods. Substantively, I leverage this expertise to answer questions related to a number of different areas, including reproductive and perinatal epidemiology, nutritional epidemiology, and the social determinants of health.


Compliance Adjustment in the Effects of Aspirin on Gestation and Reproduction (R01)

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The Effects of Aspirin in Gestation and Reproduction (EAGeR) study was a randomized trial of low-dose aspirin to prevent miscarriage and promote live birth. Complex longitudinal data were collected in this trial, and we are currently using a range of methods to estimate per protocol effects, adjust for measurement error, and to transport the estimated per protocol effects to a more representative population.

Media Coverage:

  • NYTimes: “A ‘Baby’ Aspirin a Day May Help Prevent a Second Pregnancy Loss”, available here

  • U.S. News and World Report: “For Women Who’ve Miscarried, Aspirin Before, During Pregnancy Could Improve Outcomes”, available here

  • Healio Medical News: “Low-dose aspirin improves chances of pregnancy after miscarriage”, available here

  • Healthline Medical News: “Low-Dose Aspirin May Help Pregnant People With History of Pregnancy Loss”, available here

Informing national guidelines on diet patterns that promote healthy pregnancy outcomes

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The Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b) study was an observational cohort study of a range of factors affecting pregnancies of nulliparous women. Dr Lisa Bodnar and I are currently using machine learning and causal inference techniques to evaluate patterns in diet that maximize positive pregnancy outcomes.

Our work is supported by

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