Associate Professor
Albert Einstein College of Medicine
Brooklyn, New York, United States
Dr. Kelly’s program broadly seeks to understand the fundamental interactions between evolution, ecology, and environment that govern health in microbiomes using artificial intelligence and machine learning approaches grounded in experimental and theoretical biology. She is interested in microbial and viral communities as sensors and effectors of human physiology over space and time. The broader goal of her work is to harness the information stored in, and transmitted through, microbial communities to monitor and improve human health. Her publications have identified novel mechanisms of microbiome drug metabolism, discovered new phage populations, pioneered AI/ML-based approaches to improve analysis of microbiome data, and characterized unrecognized connections between microbiome dynamics and disease. Dr. Kelly completed a BA in human biology at Stanford University, a PhD in computational biology with Andrej Sali at the University of California, San Francisco, and postdoctoral work with Sallie W. Chisholm at the Massachusetts Institute of Technology. She was a 2022 Irma T. Hirschl Career Scientist awardee, the 2021-2022 Harvard Radcliffe Institute Hrdy Fellow, a member of the inaugural class of Google Cloud Research Innovators in 2021 and a visiting scientist at the National Library of Medicine. Her research has been funded by the National Institutes of Health, the National Science Foundation, the US Department of Defense, the Elsa U. Pardee Foundation, and the Ullmann Family Foundation.
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Large Language Models for Annotation of Prokaryotic Viral Proteins
Saturday, November 15, 2025
3:15 PM - 4:00 PM EST