Freddy Bunbury (UChicago): Schmidt AI in Science Speaker Series
Organized by the University of Chicago’s Eric and Wendy Schmidt AI in Science Fellowship Program.
Agenda
3:45pm – 4:00pm: Light refreshments available
4:00pm – 4:45pm: Presentation
4:45pm – 5:00pm: Q&A
Meeting Location
Faraco Family Commons, Room 105
Data Science Institute
5460 S University Ave
Title: Forthcoming
Abstract: Forthcoming
Bio: Freddy Bunbury is a Research Scientist at the University of Chicago investigating microbial thermotolerance and metabolite exchange. My work focuses on developing genome-informed, trait-based frameworks to predict microbiome responses to environmental change. I study how microbial traits and interactions determine ecological performance under environmental change, with a focus on warming and metabolite exchange. My current programme centres on two linked questions: how photosynthetic microbes evolve and acclimate to high temperatures, and how bacteria synthesise, share, and compete for essential metabolites such as vitamin B12. Across these systems, I aim to develop predictive, genome-informed trait frameworks that connect genes to physiology, community assembly, and ecosystem function.
Aly Azeem Khan (UChicago): Schmidt AI in Science Speaker Series
DSI/Department of Statistics Colloquium: Frederic Koehler (UChicago)
DSI/Statistics Colloquium: Nikolaos Ignatiadis (UChicago)