Aaron Chevalier - Senior Computational Biologist

Aaron Chevalier

Senior Computational Biologist

Cambridge, Massachusetts, United States

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Summary

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Rockstar

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Top School

Aaron Chevalier is a Senior Computational Biologist with 11 years of experience applying advanced statistical and machine learning methods to omics data, with particular expertise in copy number and mutational signature analysis. He blends rigorous software engineering practices with domain depth—contributing to high-profile open-source projects like GATK as a back-end developer and test automation engineer—to produce robust, production-ready pipelines. Comfortable across R, Python, Java and HPC/cloud environments, he implements deconvolution methods (NMF, LDA), RNA-seq workflows, and predictive models that have supported drug development and clinical trial stratification. A PhD-trained bioinformatician based in Cambridge, MA, he excels at translating complex analyses for diverse audiences and has a track record of hardening bioinformatics cores to accelerate reproducible research.

10 years of coding experience

4 years of employment as a software developer

Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Brandeis University

Cambridge Rindge and Latin High School

Doctor of Philosophy - PhD, Bioinformatics, Completed, Doctor of Philosophy - PhD, Bioinformatics, Completed at Boston University

English, French

Github Skills (16)

bioinformatics10

javas10

gatk10

testng10

java10

testing10

ng9

genomics9

algorithms8

data-structures8

algorithm8

data-analysis8

data-structure8

spark6

Programming languages (3)

JavaRHTML

Github contributions (5)

broadinstitute/gatk

May 2015 - Sep 2016

Official code repository for GATK versions 4 and up

Role in this project:

Back-end Developer & Test Automation Engineer

Contributions:47 commits, 3 PRs, 7 pushes in 1 year 3 months

Contributions summary:Aaron primarily contributed to the development and testing of the GATK (Genome Analysis Toolkit), a bioinformatics tool. Their commits demonstrate the addition of Apache CSV dependency for data parsing, implementation of tests for the segmenter class, and updates to existing R scripts. They also added command-line interfaces and the ability to switch between copy-ratio and log2 copy-ratio in the segmenter. The user implemented several tests using testNG and the inclusion of additional plotting options.

genomesciencednaspark-mlngs

campbio/BAGEL

Oct 2019 - Oct 2020

Contributions:59 commits, 50 PRs, 102 pushes in 11 months

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