CM4AI

The CM4AI data generation project seeks to map the spatiotemporal architecture of human cells and use these maps toward the grand challenge of interpretable genotype-phenotype learning. In genomics and precision medicine, machine learning models are often “black boxes,” predicting phenotypes from genotypes without understanding the mechanisms by which such translation occurs. To address this deficiency, project will launch a coordinated effort involving three complementary mapping approaches – proteomic mass spectrometry, cellular imaging, and genetic perturbation via CRISPR/Cas9 – creating a library of large-scale maps of cellular structure/function across demographic and disease contexts.

cm4ai.org

Who We Are

Trey Ideker
Contact Primary Investigator
University of California San Diego
J-C Bélisle-Pipon
Primary Investigator
Simon Fraser University
Jake Chen
Primary Investigator
University of Alabama at Birmingham
Timothy Clark
Primary Investigator
University of Virginia
Nevan Krogan
Primary Investigator
University of California San Francisco
Emma Lundberg
Primary Investigator
Stanford University
Prashant Mali
Primary Investigator
University of California San Diego
Vardit Ravitsky
Primary Investigator
University of Montreal
Wade Shulz
Primary Investigator
Yale University
Cynthia Brandt
Co-PI
Yale University
Ying DIng
Co-PI
University of Texas at Austin
Sarah Ratcliffe
Co-PI
University of Virginia
Andrej Sali
Co-PI
University of California San Francisco