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 Spark Seminar Series: Machine learning for preclinical behavioral phenotyping and TBI clinical workflows
Timothy Dunn, PhD; Assistant Professor of Biomedical Engineering and Assistant Professor in Neurosurgery, Duke University with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University
Introduction to Mass Spectrometry Based Proteomics
Erik Soderblom, Ph.D.
BERD seminar: Overview of WHO statistical methods for vaccine correlates
Richard Barfield, PhD
AI Health Data Studio: Hands-On Digital Pathology
Ricardo Henao, PhD; Associate Professor, Department of Biostatistics and Bioinformatics; Chief AI Scientist, Duke AI Health Akhil Ambekar, MS; Fellow, AI Health Data Science Fellowship Program with Shelley Rusincovitch, MMCi; Managing Director, Duke AI Health
Microbiome Workshop
Dr. Josh Granek & Dr. So Young Kim
