Betsy Ogburn


Bio:

Betsy Ogburn is Associate Professor of Biostatistics at Johns Hopkins Bloomberg School of Public Health. She is also senior fellow of the Good Science Project, affiliated faculty of the Center for Causal Inference at University of Pennsylvania, and member of the Institute for Data-Intensive Engineering and Science at Johns Hopkins University. She works on causal inference, including interference and social networks, measurement error, semiparametric estimation, instrumental variables methods, and mediation analysis. Currently her main areas of research are unmeasured confounding and settings with statistical dependence. Betsy completed her Ph.D. in Biostatistics at Harvard University. She is a 2016 National Academy of Science Kavli Fellow and 2022 winner of the COPSS Emerging Leader Award.