Proposals should focus on solutions to addressing common roadblocks that impact faculty and research staff in the conduct of research on human health. Learn more and see RFA on our...
Kirstin Oliveira Roster, PhD (Grad Lab) TALK TITLE: "Modeling the spread of drug-resistant Neisseria gonorrhoea" Jillian Paull, PhD Candidate (Sabeti Lab) TALK TITLE: "Developing and bench-marking an unbiased metagenomic approach to identify and assemble respiratory viruses" THESE SPEAKERS WILL BE IN PERSON IN FXB 301. The event will be hybrid and we will have lunch...
Department of Epidemiology Seminar Series Speaker: Sebastian Haneuse, PhD Professor of Biostatistics; Director of Graduate Studies Program Department of Biostatistics at Harvard Chan School of Public Health Abstract: A large body of observational evidence exists to suggest that bariatric surgery is associated with reduction in risk for a wide range of outcomes, including cardiovascular disease...
Come learn from public health scientists who will tells us how high temperatures produced by climate change are affecting pregnant people and young children, and from on-the-ground practitioners how policies and programs at the local level can put the concept of ‘heat resilience’ in action. Featured speakers: Researchers: – Kari Nadeau, John Rock Professor of...
Come learn from public health scientists how high temperatures produced by climate change are affecting pregnant people and young children, and from on-the-ground practitioners how policies and programs at the local level can put the concept of ‘heat resilience’ into action. Featured speakers: Researchers: Kari Nadeau, John Rock Professor of Climate and Population Studies and...
Join us for a conversation with Dr. Linda Southward as she shares about the importance of intersectoral partnerships in enacting change in Mississippi. Speaker: Linda Southward, PhD, Executive Director, Children’s...
Elizabeth Graff, PhD Student, Department of Biostatistics, Harvard T.H. Chan School of Public Health Discussion of "Contrastive Learning Inverts the Data Generating Process" by Zimmerman et. al (2021) Abstract: Contrastive learning has recently seen tremendous success in self-supervised learning. So far, however, it is largely unclear why the learned representations generalize so effectively to a...
