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.
Network-guided genome-wide association studies
Chloé-Agathe Azencott
Sparse and Smooth Function Estimation in Reproducing Kernel Hilbert Spaces
Helen Zhang, from Department of Mathematics, University of Arizona
+DS Learning Experience: Difficulties and Dangers in Estimating Human Pose from Video
Helge Rhodin, PhD; Department of Computer Science; University of British Columbia
Promoting appendage or limb regeneration
Lea Goentoro
Mechano-chemical feedbacks between cell fate and mechanics
Edouard Hannezo
Machine learning as an assay for high-dimensional biology
Sara Mostafavi
