Dana Silverbush is an Assistant Professor at the University of Pennsylvania and a computational biologist with eight years of experience developing algorithmic and experimental single-cell multi-omic technologies to decode tumor heterogeneity and plasticity, especially in aggressive brain cancers. She led the computational development of a novel method that measures DNA methylation, point mutations, and transcription in the same single cells during a postdoc at the Broad Institute, and her work spans wet-lab and computational pipelines with direct translational ties to clinicians. Trained in computer science and computational biology (PhD, Tel Aviv University), Dana combines rigorous algorithm design—previously applied to cancer network prioritization and personalized temporal models—with hands-on mentorship and workshop teaching. Notably, she has bridged disciplines from MD collaborators to pure ML researchers, secured an EMBO long-term fellowship, and routinely reviews for top computational biology venues.
8 years of coding experience
12 years of employment as a software developer
Master’s Degree, PhD, Computational Biology,, Master’s Degree, PhD, Computational Biology, at Tel Aviv University
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at The Academic College of Tel-Aviv, Yaffo
Contributions:10 commits, 8 pushes, 1 branch in 2 years 3 months
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Dana Silverbush - Assistant Professor at University of Pennsylvania