CJ Battey

Senior Computational Scientist

Ojai, California, United States
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Summary

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Senior
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Top School
CJ Battey is a senior computational scientist with 11 years of experience applying machine learning and statistical modeling to cell-free DNA assays for prenatal and oncology diagnostics. At Myriad Genetics he leads development of fetal aneuploidy, twin zygosity, fetal fraction, and tumor fraction models, is an inventor on four cfDNA-related patents, and mentors PhD interns while operating regulated bioinformatics pipelines. His academic background includes a PhD in biology from the University of Washington and an NIH F32–funded postdoc where he published first-author papers and released open-source deep learning tools for geographic ancestry inference. Comfortable bridging wet lab assay tuning and production-grade software in SDLC environments, he brings a rare mix of population-genetics research rigor and practical diagnostics engineering. An Ojai-based scientist, he balances high-impact diagnostics R&D with a track record of deploying reproducible, low-coverage WGS methods for challenging clinical applications.
code11 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD Biology, Doctor of Philosophy - PhD Biology at University of Washington
bookBachelor's degree Integrative Biology English, Bachelor's degree Integrative Biology English at University of California, Berkeley
languagesSpanish
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81reputation
23kreached
4answers
0questions
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Github Skills (46)

genome10
variational-autoencoder10
geographic10
location10
geography10
prediction10
uncertainty10
population-genetics10
dimensionality-reduction9
reduction9
genetic9
bioinformatics9
pdf-conversion9
slim8
deep-learning8

Programming languages (4)

ShellRHTMLPython

Github contributions (5)

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cjbattey/driftR

Nov 2016 - Feb 2018

Contributions:3 releases, 48 commits, 1 PR in 1 year 3 months
geneticshinysimulations
kr-colab/locator

May 2019 - Sep 2022

deep learning prediction of geographic location from individual genome sequences
Contributions:3 releases, 10 reviews, 96 commits in 3 years 4 months
genomeindividualgeographypredictiondeep-learning
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