The Quantitative Biosciences Institute (QBI) at UCSF and Rezo Therapeutics present “Separating the Signal from the Noise: AI in Biology,” a two-day symposium organized by Ali Bashir, Tanja Kortemme, Nevan Krogan, and Kliment Verba.
Event Details
Separating the Signal from the Noise: AI in Biology [Registration link]
Tuesday – Wednesday, June 17-18, 2025
Location: UCSF Mission Bay
Host: QBI at UCSF
Background Information
This engaging symposium will bring together leading experts in protein design, structural dynamics, cell systems, and deep algorithm development. Through focused presentations and vibrant discussions, this event will foster dynamic exchanges and active brainstorming among a brilliant audience of researchers, learners, and innovators.
Speakers:
Steve Altschuler, QBI – UCSF
Lazar Atanackovic, University of Toronto
Ali Bashir, Rezo Therapeutics
Hector Corrada Bravo, Genentech
Brian Cheung, Massachusetts Institute of Technology
Cecilia Clementi, Freie Universität Berlin
James Fraser, QBI – UCSF
Dari Kimanius, Chan Zuckerberg Imaging Institute
Tanja Kortemme, QBI – UCSF
Cam Linke, Alberta Machine Intelligence Institute
Sara Mostafavi, Genentech
Anil Palepu, Google
Angela Pisco, Insitro
Dale Webster, Google
Lani Wu, QBI – UCSF
About QBI
UCSF Quantitative Biosciences Institute, QBI, is an Organized Research Unit within UCSF’s School of Pharmacy, applies computation, mathematics, and statistics to tackle complex biological problems, aiming to develop innovative treatments across diverse diseases. Learn more.