David Kelley, Ph.D. - Calico
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Back to Senior R&D Staff
David Kelley, Ph.D.
Principal Investigator
David helps us understand how cells regulate gene expression throughout their lifespans.
About
With the convergence of big biological data, machine learning advances, and accessible genome editing, we now have the tools to significantly enhance our ability to read DNA and interpret variation. David’s current research focus is developing machine learning methods, especially based on deep representation learning, to learn how cells regulate gene expression throughout their lifespans. He is also interested in computational methods for single cell genomics and profiling tissues and organisms at single cell resolution as they age.
Education:
Postdoc, Laboratory of John Rinn, Harvard University
Ph.D. in Computer Science, University of Maryland College Park
B.S. in Computer Science, Syracuse University
Featured Publications:
Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation
Effective gene expression prediction from sequence by integrating long-range interactions
Calico Publications:
The genetic and biochemical determinants of mRNA degradation rates in mammals
Individual cell types in C. elegans age differently and activate distinct cell-protective responses
scBasset: sequence-based modeling of single-cell ATAC-seq using convolutional neural networks
Awards:
NIEHS K25 Quantitative Research Development Award - 2013
See Other Senior R&D Staff Profiles
David Hendrickson, Ph.D.
Director, Genomics
Calvin Jan, Ph.D.
Principal Investigator
Jeong M. Kim, Ph.D.
Head, Translational Medicine
Magdalena Lopez, Ph.D.
Director, Cellular Models & Assay Technologies
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