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.

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

Brian Cheung, Massachusetts Institute of Technology

Cecilia Clementi, Freie Universität Berlin

Dari Kimanius, Chan Zuckerberg Imaging Institute

Tanja Kortemme, QBI – UCSF

Nevan Krogan, QBI – UCSF

Cam Linke, Alberta Machine Intelligence Institute

Sara Mostafavi, Genentech

Anil Palepu, Google 

Angela Pisco, Insitro

Kliment Verba, QBI – UCSF

Dale Webster, Google

Lani Wu, QBI – UCSF

Accepting Abstracts for Poster Presentations!

This poster session will give attendees of the “Separating the Signal from the Noise: AI in Biology" symposium an opportunity to share a key result or technology and help encourage connections during the event

To be considered for the poster presentation, you must first register, and then submit your poster abstract by 11:59 PM on June 8, 2025. All presenters will be notified in advance of the symposium.

SUBMIT YOUR ABSTRACT NOW!