Diego Borges-rivera
Computational Biologist
Belmont, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDiego Borges-Rivera is a computational biologist with over a decade of experience building scalable analysis pipelines in R, Python and Unix across environments from cloud HPC clusters to ARM-based embedded systems. He combines deep domain expertise in eukaryotic 3D genome architecture, cis-regulatory elements and cancer genomics with practical skills in machine learning, high-throughput sequencing (RNA-seq, ChIP-seq) and interactive visualizations (D3, plotly, VR). Diego has translated disparate biological datasets into novel hypotheses throughout roles at industry leaders and startups, most recently architecting scRNA-seq infrastructure for Tahoe Therapeutics while contributing to computational efforts at Dogodan Therapeutics. His background includes rigorous academic training at MIT and early work at the Broad Institute, and he brings an uncommon blend of algorithm design, graph-theory thinking and hands-on deployment (R packages, virtual machines, HPC schedulers) to biological problems. Colleagues rely on him for turning complex regulatory biology into reproducible, production-ready analyses that surface actionable insights.
10 years of coding experience
5 years of employment as a software developer
2007, 2007 at Buckingham Browne & NicholsMaster's degree Computational Biology, Master's degree Computational Biology at Massachusetts Institute of TechnologyB.S. Computational Biology, B.S. Computational Biology at Carnegie Mellon University
Github Skills (118)
python8
deep-learning8
overlap8
gpu8
duplication8
population-genetics8
illumina8
fastq8
machine-learning8
bioinformatics8
printable8
sequencing8
adapter8
meta-analysis8
unreal7
Programming languages (11)
Github contributions (5)
dborgesr/EuGrow
Jun 2020 - Mar 2023
Contributions:1 PR, 1 push, 1 branch in 2 years 9 months
dborgesr/EuCovid-2020
Apr 2020 - Feb 2021
Contributions:5 pushes, 1 branch in 9 months
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