October 21, 2026

Agenda

One day of talks, keynotes, discussion, and networking at the intersection of AI and biology.

Register Speakers

New York Genome Center

New York City

Scientific Co-Chairs

Sanja Vicković, PhD

Scientific Co-Chair

Columbia University / New York Genome Center

Joel Gabre, MD

Scientific Co-Chair

Columbia University Irving Medical Center · Herbert Irving Comprehensive Cancer Center

8:00–8:45 AM

Arrival

Registration & Coffee

8:45–9:00 AM

Transition

Attendees escorted to auditorium

9:00–9:10 AM

Welcome

Welcome and Opening Remarks

9:10–9:30 AM

Opening Scientific Address

“Decoding the noncoding genome with Sequence to Function Models”

Session I

Human Systems and Biological Models for AI-Driven Discovery

Session Chairs

Columbia University Irving Medical Center

9:30–10:00 AM

Keynote

“Organs on Chip Models of Human Pathophysiology”

Columbia University

10:00–10:20 AM

Talk

“Cellular reinforcement learning by AP-1 dimer combinatorics and stress feedback”

NYU Grossman School of Medicine

10:20–10:40 AM

Talk

“Building a Biological World Model with Live-Cell Imaging”

Biohub San Francisco

10:40–10:50 AM

Selected Abstract Spotlight

“Virtual Tissues: From Atlas to Foundation Model for Spatial Proteomics”

École Polytechnique Fédérale de Lausanne

11:00–11:30 AM

Coffee Break

Coffee Break & Networking

Session II

AI Foundation Models for Biological Discovery

Session Chairs

New York Genome Center / Weill Cornell Medicine

Columbia University Irving Medical Center

11:30 AM–12:00 PM

Keynote

“Beyond the Funnel: Machine Learning Powered Lab-in-the-Loop for Drug Discovery”

Genentech, Inc., a member of the Roche Group

12:00–12:20 PM

Talk

“Learning the Regulatory Code with AI”

Cold Spring Harbor Laboratory

12:20–12:40 PM

Talk

“Exploring the Space of Combinatorial Genetic Perturbations with Iterative Perturb-seq”

New York University

12:40–1:00 PM

Talk

“Virtual Screening of 100-Billion–Molecule Libraries for Prospective Ligand Discovery”

The Rockefeller University

1:00–1:10 PM

Selected Abstract Spotlight

“Rational design of synthetic proteins using a genome-scale CRISPR screen”

New York University and the New York Genome Center

1:10–1:20 PM

Selected Abstract Spotlight

“Building on RNA foundation models to predict A-to-I editing across the transcriptome”

Columbia University

1:20–2:30 PM

Lunch & Networking

Session III

From Multimodal Data to Precision Medicine and Therapeutics

Session Chairs

Columbia University / New York Genome Center

New York Genome Center

2:30–2:40 PM

Selected Abstract Spotlight

“Bridging Histology and Spatial Transcriptomics Through Cross-Modal Learning”

New York Genome Center

2:40–3:00 PM

Talk

“Learning Tissue Geometry from Spatial Omics”

Princeton University

3:00–3:30 PM

Keynote

“Frontiers of Multimodal Integration in Computational Oncology”

Memorial Sloan Kettering Cancer Center

3:30–4:00 PM

Featured Closing Talk

“Accelerating Drug Development with AI and Human Organ Chips”

Wyss Institute / Harvard University

Panel & Reception

4:00–4:10 PM

Transition

Transition / Stage Reset

4:10–4:40 PM

Panel Discussion

Building the AI x Biology Ecosystem

Chair

Columbia University

Panelists

Jason Bell, PhD Rich Bonneau

Richard Bonneau, PhD Eli Casdin

Eli Casdin Don Ingber

Donald E. Ingber, MD, PhD Portrait of a smiling man with glasses and a beard wearing a dark blue shirt against a blurred office background

Manu Leonetti, PhD

Anil K. Rustgi, MD Itai Yanai smiling in a light blue button-up shirt outdoors with blurred green trees in the background

Itai Yanai, PhD

4:40–4:45 PM

Closing

Closing & Thanks

Anil Rustgi, MD Professional headshot of a smiling man wearing a light blue shirt and dark tie against a gray background

Joel Gabre, MD

4:45–6:00 PM

Reception

Networking Reception & Mingle

6:00 PM

Concludes

Agenda

Sanja Vicković, PhD

Joel Gabre, MD

Registration & Coffee

Attendees escorted to auditorium

Welcome and Opening Remarks

“Decoding the noncoding genome with Sequence to Function Models”

Human Systems and Biological Models for AI-Driven Discovery

“Organs on Chip Models of Human Pathophysiology”

“Cellular reinforcement learning by AP-1 dimer combinatorics and stress feedback”

“Building a Biological World Model with Live-Cell Imaging”

“Virtual Tissues: From Atlas to Foundation Model for Spatial Proteomics”

Coffee Break & Networking

AI Foundation Models for Biological Discovery

“Beyond the Funnel: Machine Learning Powered Lab-in-the-Loop for Drug Discovery”

“Learning the Regulatory Code with AI”

“Exploring the Space of Combinatorial Genetic Perturbations with Iterative Perturb-seq”

“Virtual Screening of 100-Billion–Molecule Libraries for Prospective Ligand Discovery”

“Rational design of synthetic proteins using a genome-scale CRISPR screen”

“Building on RNA foundation models to predict A-to-I editing across the transcriptome”

Lunch & Networking

From Multimodal Data to Precision Medicine and Therapeutics

“Bridging Histology and Spatial Transcriptomics Through Cross-Modal Learning”

“Learning Tissue Geometry from Spatial Omics”

“Frontiers of Multimodal Integration in Computational Oncology”

“Accelerating Drug Development with AI and Human Organ Chips”

Transition / Stage Reset

Building the AI x Biology Ecosystem

Closing & Thanks

Networking Reception & Mingle

Event Concludes