Share your ideas for the brainstorming session (by June 18)!

We’re inviting all attendees to submit ideas or questions in response to a few prompts shared by our speakers. These prompts cover themes and challenges raised throughout the event, and your responses will help us surface the most relevant topics to explore together. You don’t need to overthink it—just share what’s top of mind based on what you’ve heard, seen, or been inspired by during the conference. We'll use your input to shape the live session and highlight key areas for collective discussion.You can submit your thoughts here: https://forms.gle/P4863yVZ2JHJZtjv5

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. 

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AGENDA: June 17, 2025
Session 1 - Chaired by Nevan Krogan

1:00 PM: Opening Remarks by Nevan Krogan

1:10 PM: Ali Bashir, Rezo Therapeutics - Integrating AI and Network Biology: Drug Discovery at Rezo Therapeutics

1:30 PM: James Fraser, QBI – UCSF - You Can't Avoid the AVOIDome

1:50 PM: Lazar Atanackovic, University of Toronto/Vector Institute - Dynamics-based Generative Models for the Inference, Response Prediction, and Control of Biological Systems

2:10: Break (20 minutes)
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Session 2 - Chaired by Kliment Verba

2:30 PM: Tanja Kortemme, QBI – UCSF - Deep Learning-guided Design of Programmable Proteins

2:50 PM: Dari Kimanius, Chan Zuckerberg Imaging Institute - Integrative In Situ Spatial Proteomics with CryoET

3:20 PM: Cecilia Clementi, Freie Universität Berlin - Modeling Protein Dynamics with Machine Learning and Molecular Simulation

3:40 PM: Break (20 minutes)
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Session 3 - Chaired by Ali Bashir

4:00 PM: Angela Pisco, Insitro - How AI Is Helping Us Make Better Medicines

4:20 PM: Steve Altschuler & Lani Wu, QBI – UCSF - Finding Hidden Drug Functions Through Cellular Phenotype Adaptation and Alignment

4:40 PM: Laurel Kinman, UCSF - Towards Quantitative Analysis of Conformational Landscapes with Cryo-EM

5:00 PM: Poster Presentation Reception
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AGENDA: June 18, 2025
Session 4 - Chaired by Tanja Kortemme

9:00 AM: Hector Corrada Bravo, Genentech - The Messier Side of Discovery: Foundation Models and Cellular Phenotypes

9:20 AM: Brian Cheung, Massachusetts Institute of Technology - How Much Do Language Models Know About Our World?

9:40 AM: Anil Palepu, Google - Towards Conversational AI for Disease Management

10:05 AM: Break (15 minutes)
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10:20 AM: Panel Discussion moderated by Ali Bashir featuring Dale Webster (Google Health), Angela Pisco (Insitro) and Cam Linke (AMII) - The Good, the Bad, and the Overhyped: Data, Expertise, and the Trajectory of AI in Biology” | Introduction by UCSF Innovation Ventures

11:10 AM: Brainstorm Session led by Kliment Verba

12:15 PM: Lunch Reception, featuring Poster Presentation & Networking Session