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: Entering the Era of AI-driven Cryo-EM with SmartScope
Presented by: Alberto Bartesaghi, Associate Professor of Computer Science, Duke University with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University
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Evaluating and Interpreting Machine Learning Outputs in Genomics Data
Jiyuan Fang, PhD Candidate
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Duke Machine Learning Summer School
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All Day
Improving the Data Analytic Toolbox for Digital Monitoring and Intervention Studies
Walter Dempsey, PhD, Assistant Professor - Statistics, University of Michigan
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SPARK Seminar Series: Medical Imaging AI: Where do we go from here?
Pranav Rajpurkar, PhD; Assistant Professor of Biomedical Informatics, Harvard Medical School with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University
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From the nucleus to mitochondria: The global orchestration of gene expression
Stirling Churchman
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Double Vision: Developmental Genomics from a Lab and Institute Perspective
Diana Bianch, MD
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Joint NC BERD Seminar: Introduction to R Programming
Bryon Jaeger, PhD
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