The AI x Biology Summit brings together leaders across academia, biotech, pharma, medicine, and AI to explore the future of lab-in-the-loop discovery with human-relevant systems and multimodal data.
Genentech, Inc.
Computational biology and AI-driven drug discovery
New York University / New York Genome Center
Protein engineering for precise genome editing
New York Genome Center
Machine learning methods linking tissue histology with spatial transcriptomics
Wyss Institute / Harvard University
Organ-on-chip systems and biologically inspired engineering
Cold Spring Harbor Laboratory
Deep learning for genomics and sequence modeling
Biohub San Francisco
Quantitative cell biology and protein imaging technologies
New York University
Machine learning and multimodal biological data integration
Rockefeller University
AI-driven protein structure and molecular modeling
Princeton University
Computational biology and cancer genomics
New York Genome Center / Columbia University
Functional genomics and gene regulatory systems
Memorial Sloan Kettering Cancer Center
Computational oncology and AI-driven cancer research
Columbia University
Tissue engineering and human-relevant biological systems
Bunne Lab, EPFL
Representation learning and generative modeling for spatial omics
Columbia University
RNA foundation models and programmable control of biological circuits
NYU Grossman School of Medicine
Computational genomics and biology of genomes
Ultima Genomics
Genomics deep-tech strategy and bio-AI consortium partnerships
Lead
Columbia University Irving Medical Center
Ultima Genomics
Genentech, Inc.
Casdin Capital
Wyss Institute / Harvard University
Biohub San Francisco
NewYork-Presbyterian / Columbia University Irving Medical Center
NYU Grossman School of Medicine
Representing leading research centers in AI and biology.
Be part of the conversation shaping the future of AI-driven biological discovery
