Joshua Batson

Research Scientist at Anthropic

San Francisco, California, United States
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Summary

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Senior
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Top School
Joshua Batson is a research scientist with 14 years of quantitative experience, trained in mathematics at Yale, Cambridge, and MIT, who applies rigorous theory to problems in machine learning, computational biology, and infectious disease. He has led rapid, high-impact responses—most notably standing up a CLIA PCR testing lab in San Francisco in eight days and co-leading genomic surveillance across a dozen California counties during COVID. Currently at Anthropic, he investigates how neural nets work internally to inform performance and safety, blending deep math with practical ML engineering. His background spans academic theorem-proving, cybersecurity and search internships, and production deployments in computer vision and bioinformatics, reflecting an unusual combination of pure math and hands-on systems delivery. Based in San Francisco, he is known for moving from abstract models to operational systems that materially improve public health and safety.
code14 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at Massachusetts Institute of Technology
bookMaster of Advanced Study, Mathematics, Master of Advanced Study, Mathematics at University of Cambridge
bookBachelor of Arts (BA), Mathematics, Bachelor of Arts (BA), Mathematics at Yale University
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Github Skills (112)

variants10
cancer-genomics10
image-processing10
annotations10
seq10
structural-variation10
transcriptomics10
denoising10
single-cell-analysis10
tabula10
pathogen10
image10
fusion10
biomedical10
rna-seq9

Programming languages (11)

TypeScriptCSSRMakefileJavaScriptVueNextflowGo

Github contributions (5)

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czbiohub-sf/noise2self

Jan 2019 - Dec 2019

A framework for blind denoising with self-supervision.
Contributions:29 commits, 6 PRs, 17 pushes in 10 months
pytorchself-supervisionblinddeep-learningsupervision
czi-hca-comp-tools/easy-data

Apr 2018 - Apr 2018

easy access to benchmark datasets
Contributions:13 commits, 19 PRs, 24 pushes in 2 days
benchmarkdatasetsbenchmarking
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Joshua Batson - Research Scientist at Anthropic