R Faryabi
Associate Professor
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolR Faryabi is an Associate Professor and computational biologist with 11+ years of experience translating cancer epigenetics into therapeutic insight, based at the University of Pennsylvania. His lab combines genome-wide and single-cell assays with novel statistical and machine learning methods to dissect how transcription factors and chromatin folding drive transcriptional addiction in cancer. Trained as a Ph.D. in Electrical and Computer Engineering with a computational biology focus, he blends engineering rigor with wet-lab curiosity to accelerate biomarker and drug discovery. Notably, his work emphasizes intratumoral chromatin heterogeneity as a determinant of targeted therapy response, pairing high-dimensional experiments with custom computational tools.
11 years of coding experience
10 years of employment as a software developer
Ph.D, Electrical and Computer Engineering (Computational Biology), Ph.D, Electrical and Computer Engineering (Computational Biology) at Texas A&M University
Github Skills (19)
python10
kubernetes9
bioinformatics7
genomics7
sparse6
genome6
visual-analytics6
file-format5
visualization4
visualizations4
python-bindings4
data-visualization3
browser3
sparse-matrix2
extensible2
Programming languages (4)
Github contributions (5)
faryabib/NatMethods_TooManyCells_analysis
Nov 2019 - Jul 2021
Contributions:5 commits, 3 pushes, 1 branch in 1 year 8 months
faryabib/too-many-cells
Aug 2020 - Jul 2021
Cluster single cells and analyze cell clade relationships with colorful visualizations.
Contributions:1 release, 2 commits, 2 PRs in 11 months
visual-analyticsbioinformaticsvisualizationscladedata-visualization
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