Orr Ashenberg
Institute Scientist at Broad Institute of MIT and Harvard
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolOrr Ashenberg is an Institute Scientist at the Broad Institute who leads a computational biology group that fuses machine learning with single-cell, spatial omics, and functional genomics to pinpoint molecular drivers of autoimmune disease, infection, and cancer. With 11+ years of cross-disciplinary experience spanning computational biology, genomics, immunology, virology, and molecular evolution, he builds tools that integrate observational and interventional data and works tightly with experimental teams to translate analyses into new biological experiments. He has designed large public data-science competitions that attracted 1,000+ participants, teaches courses on single-cell and spatial omics, and chairs the Broad’s Models, Inference & Algorithms Initiative. Trained at MIT (PhD) and Harvard (AB), Orr combines deep methodological rigor with practical, collaborative problem-solving in high-impact translational research.
11 years of coding experience
Doctor of Philosophy (PhD), Computational and Systems Biology, Doctor of Philosophy (PhD), Computational and Systems Biology at Massachusetts Institute of TechnologyA.B. (Bachelor of Arts), Chemistry and Chemical Biology, A.B. (Bachelor of Arts), Chemistry and Chemical Biology at Harvard University
English, French
Github Skills (29)
single-cell-genomics10
cran10
sequencing9
rna-seq8
data-repository8
bioinformatics7
transcriptomics7
scanpy6
single-cell-analysis5
hdf4
r4
r-package4
machine-learning4
spatial-transcriptomics4
seq4
Programming languages (5)
Github contributions (5)
klarman-cell-observatory/HTAPP-Pipelines
Jul 2020 - Apr 2022
A record of the analysis pipelines used to create the HTAPP data
Contributions:17 commits, 15 pushes, 1 comment in 1 year 9 months
mbdoud/Compare-NP-Preferences
Apr 2015 - Apr 2015
Contributions:38 pushes in 1 day
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