Tom Skelly
Computational Biologist
Damascus, Maryland, United States
Summary
👤
Senior🎓
Top SchoolTom Skelly is a computational biologist with 14 years of experience who pivoted from a long aerospace and real-time systems career into genomics after earning an MPhil in Computational Biology from Cambridge. He has spent years improving sequencing pipelines at leading centres—building the Sanger Institute’s first in-house Illumina post-run pipeline and now optimizing PacBio workflows at the Frederick National Laboratory for Cancer Research. Hands-on and pragmatic, he develops open-source tools (including MatchAnnot and PacBioEDA) for low-level exploration and analysis of long-read RNA and sequencing data. Tom combines systems-level engineering discipline from avionics with deep bioinformatics practice, making him especially effective at squeezing extra quality and throughput from complex sequencing instruments.
14 years of coding experience
17 years of employment as a software developer
MS, Aeronautics and Astronautics, MS, Aeronautics and Astronautics at Massachusetts Institute of TechnologyMPhil, Computational Biology, MPhil, Computational Biology at University of Cambridge
Github Skills (9)
tsne3
rna-seq3
bioinformatics3
bam2
pipeline2
sequencing2
taxonomy2
genomics2
illumina2
Programming languages (1)
Github contributions (4)
TomSkelly/PacBioEDA
Jan 2012 - Aug 2014
Contributions:56 commits in 2 years 7 months
TomSkelly/MatchAnnot
Sep 2014 - Sep 2015
Contributions:40 commits, 18 pushes, 5 comments in 1 year
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