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

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