PQG Working Group

Virtual

Brian Cleary Broad Fellow Broad Institute of MIT and Harvard Using viral loads and within-host models to improve COVID-19 surveillance Limited testing capacity has been an ongoing problem throughout the COVID-19 pandemic. Pooled testing is a faster and less expensive diagnostic approach compared to individual testing, but there are important tradeoffs in sensitivity, efficiency and … Continue reading "PQG Working Group"

Dissertation Defense – Sara Sauer

Virtual

Sara will present the dissertation entitled “Cluster-Based Outcome-Dependent Sampling: Inference and Frameworks for Efficient Sampling Designs”. The dissertation committee is chaired by Dr. Sebastien Haneuse, and includes Dr. Michael Hughes, Dr. Bethany Hedt-Gauthier, and Dr. JP Onnela.