Eugenio Rubio
Director, Computational Biology
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolEugenio Rubio is a computational biology leader with 11 years of experience translating sequencing and single-cell data into therapeutic insight, currently directing Computational Biology at Editas Medicine in Boston. Trained as a theoretical physicist (PhD) he blends rigorous mathematical modeling, statistical genomics, and hands-on Python/R engineering to drive genome-editing programs from data to decision. His background spans academic innovations—new algorithms for single-cell analysis, hierarchical HMMs for chromatin domains, and stochastic models of mitosis—to industry leadership in developing precise molecular therapeutics. Known for turning complex multidimensional datasets into testable biological hypotheses, he brings both deep theory and practical pipeline-building to cross-functional teams. An uncommon strength is his persistent thread of quantitative physics thinking applied to biological systems, which fuels creative modeling and experimental design.
11 years of coding experience
8 years of employment as a software developer
BSc Theoretical Physics, BSc Theoretical Physics at University of Valencia, SpainPh.D. Physics, Ph.D. Physics at University of Valencia
Github Skills (4)
rna-seq8
sequencing7
bioinformatics6
genomics6
Programming languages (2)
Github contributions (4)
gcyuan/diHMM
Jun 2015 - Mar 2017
Contributions:8 commits, 7 pushes, 1 branch in 1 year 8 months
eugeniomarco/uditas
Jun 2021 - Dec 2022
Software for performing UDiTaS sequencing analysis.
Contributions:3 pushes in 1 year 6 months
bioinformaticssequencinggenomicsrna-seq
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