Gregory Schwartz is an Assistant Professor and computational biologist with 12 years of experience developing algorithms to dissect cellular heterogeneity and integrate multi-omic data. He created production-quality tools such as TooManyCells for hierarchical spectral clustering and novel visualizations, inteGREAT for cross-modal biomarker discovery, and HeatITup for annotating internal tandem duplications, work begun during a postdoc at the University of Pennsylvania and continued at the University of Toronto and University Health Network. His research blends rigorous mathematical measures of hierarchy and diversity with practical software engineering, making reproducible, open-source implementations available on GitHub. Based in Toronto, he applies single-cell analysis to reveal disease mechanisms and has a track record of translating methodological innovation into tools used for pan-cancer and immune-repertoire studies.
12 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Drexel University
Bachelor of Arts (B.A.), Bachelor of Arts (B.A.) at Franklin & Marshall College
Contributions:18 commits, 23 pushes, 1 branch in 3 years 1 month
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