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.
14 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at Massachusetts Institute of Technology
Master of Advanced Study, Mathematics, Master of Advanced Study, Mathematics at University of Cambridge
Bachelor of Arts (BA), Mathematics, Bachelor of Arts (BA), Mathematics at Yale University
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