Conor Walker
Scientist (Oncology Bioinformatics)
New York, New York, United States
Summary
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Senior🎓
Top SchoolConor Walker is an oncology bioinformatics scientist with a decade of experience building statistical and machine learning solutions for human genomics and genetic variation. He has a strong track record in both method development and large-scale data processing, from C++ hidden Markov models that uncovered short DNA rearrangements to PyTorch classifiers exposing privacy risks in single-cell RNA-Seq. At EMBL-EBI and the New York Genome Center he combined computational rigor (Rust, C++, Python) with scalable pipelines (Snakemake, Slurm, AWS) and contributed to peer-reviewed studies on viral and human genome evolution. Now at Moderna, he applies this blend of secure, production-ready implementations and advanced modeling to oncology challenges. Notably, he helped design the first privacy-preserving bulk RNA-Seq quantification using homomorphic encryption—highlighting a rare intersection of genomics, security, and high-performance engineering.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at University of CambridgeMaster of Science - MS Bioinformatics, Master of Science - MS Bioinformatics at Newcastle UniversityBachelor of Science - BS Zoology, Bachelor of Science - BS Zoology at Liverpool John Moores University
Github Skills (4)
evolution3
sequence3
simulation2
bioinformatics2
Programming languages (1)
Github contributions (5)
W-L/ProblematicSites_SARS-CoV2
May 2020 - Nov 2021
Contributions:84 commits, 1 PR, 78 pushes in 1 year 6 months
conorwalker/conorwalker.github.io_backup
Nov 2021 - Nov 2024
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:50 pushes, 7 branches in 3 years
responsive-jekyll-themeacademicscleanjekylljekyll-theme
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