Katie Doroschak
Senior Data Engineer
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolKatie Doroschak is a Senior Data Engineer and computational biologist with 11 years of experience applying machine learning and data engineering to synthetic biology and nanopore sensing. She develops robust, production-ready pipelines and software—translating raw nanopore signals into usable information without basecalling—work that began in graduate research and continued through industry roles at Adaptive and Gordian. Her PhD-era projects include Porcupine molecular tagging and NanoporeTERs, both of which combined wet-lab insight with CNN and ensemble classifiers and led to a patent application and broad media interest. Katie mentors and scales reproducible analysis practices, having formalized pipelines into packages like Poretitioner and guided multiple undergraduates. Based in Cambridge, MA, she brings both deep domain expertise in sequencing signal analysis and practical experience shipping maintainable data systems for biotech teams. A distinctive strength is pairing hands-on experimental intuition with software engineering rigor to read biological signals directly from raw device output.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science & Computational Biology, Doctor of Philosophy (Ph.D.), Computer Science & Computational Biology at University of WashingtonHill-Murray High SchoolUniversity of Minnesota Twin Cities
Github Skills (42)
jupyter9
notebook9
jupyter-notebook9
genomics8
pylint8
structural-variation8
jupyterlab8
intellisense8
probability8
bioinformatics8
probabilistic-graphical-models8
folding7
sequence-alignment7
pairwise7
python-extension7
Programming languages (5)
Github contributions (5)
uwmisl/Porcupine
Feb 2020 - Jan 2021
Porcupine is a molecular tagging system to tag physical objects with DNA.
Contributions:34 commits, 2 PRs, 13 pushes in 11 months
dnaporcupinephysicalmolecularbioinformatics
uwmisl/poretitioner
Apr 2020 - Mar 2021
Contributions:9 reviews, 35 commits, 6 PRs in 11 months
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