Knowles Lab
The Knowles Lab opened in January 2019 at the New York Genome Center, jointly with Columbia University. The lab uses statistical machine learning—probabilistic graphical models, deep learning, causal network inference and convex optimization—to address challenges in understanding large genomic datasets. They develop computational and experimental methods to map the causes and consequences of transcriptomic dysregulation, especially aberrant splicing, across the spectrum from rare to common genetic disease. They collaborate with groups at NYGC, Columbia, MSSM, and beyond, focusing on understanding the genetic and transcriptomic basis of neurological diseases, both degenerative and psychiatric, and more recently, cancer.
David A. Knowles, PhD
Core Faculty Member, NYGC
Assistant Professor, Computer Science, Columbia University; Interdisciplinary Appointee, Systems Biology, Columbia University; Affiliate Member, Data Science Institute, Columbia University

Latest News & Publications
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medRxiv · June 4, 2025 · Preprint
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Neurobiology of Disease · May 15, 2025
Alternating hemiplegia of childhood associated mutations in Atp1a3 reveal diverse neurological alterations in mice
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bioRxiv · May 8, 2025 · Preprint
A computational framework for mapping isoform landscape and regulatory mechanisms from spatial transcriptomics data.
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