Brianna Chrisman

Member Of Technical Staff at Anthropic

Palo Alto, California, United States
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Summary

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Senior
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Brianna Chrisman is a Member of Technical Staff and research scientist blending eight years of machine learning and computational biology experience to build interpretable foundation models that accelerate scientific discovery. With a PhD from Stanford and hands-on roles at Anthropic and GRAIL, she has shipped clinically minded ML systems for early cancer detection and led projects that tied assay design to scalable, interpretable algorithms. Her recent independent work produced Local Loss Landscape Decomposition, a method for extracting interpretable circuits from deep networks, reflecting a rare focus on mechanistic understanding rather than black-box performance. Based in Palo Alto, she combines deep domain knowledge in genomics, microbiomics, and viral evolution with frontier LLM research to explore biological capabilities and risks of large models. Long term she aims to translate this cross-disciplinary expertise into biomolecule-based personalized medicines and population-scale pathogen detection or screening systems.
code8 years of coding experience
job8 years of employment as a software developer
bookBachelor of Science (B.S.) Biomedical/Medical Engineering Applied Physics, Bachelor of Science (B.S.) Biomedical/Medical Engineering Applied Physics at Yale University
bookDoctor of Philosophy - PhD Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD Bioengineering and Biomedical Engineering at Stanford University
languagesSpanish, English
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Github Skills (20)

glob10
bash9
gwas8
genetics8
bioinformatics7
genomics7
shell6
brace-expansion6
ip6
indentation6
hail6
endianness6
converter6
scripting6
swift5

Programming languages (1)

Python

Github contributions (5)

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Contributions:7 commits, 4 pushes in 1 year 1 month
Contributions:15 pushes, 1 branch in 3 years
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