Iām a Professor in the Department of Epidemiology at the Rollins School of Public Health, Emory University.
My work focuses on developing, evaluating, and applying advanced quantitative methods.
Research
My research integrates causal inference, machine learning, and artificial intelligence with clinical medicine and epidemiology to address questions about health and well-being. Through collaboration with researchers across the country, I work on projects ranging from pregnancy outcomes to chronic disease prevention. My methodological work focuses on addressing real-world challenges in study design, measurement error, effect transportability, and causal inference from observational data.
I am increasingly interested in questions about science, data science, and statistics, epistemology and the philosophy of science, as well as education and training of the next generation.
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Teaching
I teach courses in quantitative methods, data science, causal inference, and quantitative research at both the undergraduate and graduate levels. I am committed to making complex statistical concepts accessible and helping students develop practical skills they can apply in their research.
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