The Applied Biostatistics Seminar Series consists of a series of talks with the primary purpose of furthering statistical knowledge on an applied level.
Talks will focus on advances in biostatistical methods and statistical programming techniques and their translation into addressing biomedical research questions. The seminars are open to all members of the Duke community, but primarily geared toward applied statistical researchers.
AI Health virtual seminar: Design and Implementation of a Novel Platform for COVID-19 Contact Tracing and Testing
Andrew Olson, MPP; Associate Director, Policy Strategy and Solutions for Health Data Science, Duke AI Health
AI Health Spark Seminar Series: Driving AI Innovation with Synthetic Data in Longitudinal Imaging, Continual Leaning, and Federated Learning for Healthcare
Xiaoxiao Li, PhD; Assistant Professor at the University of British Columbia, Assistant Professor Adjunct at Yale University, and Faculty Member at Vector Institute with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University
Exposomic Modeling Approaches for Social and Environmental Determinants of Health
Kara McCormack, PhD Candidate
