Tom Henighan
Member Of The Technical Staff at Anthropic
United States
Summary
👤
Senior🎓
Top SchoolTom Henighan is an AI engineer with a decade of experience building NLP-focused systems for products, currently a Member of the Technical Staff at Anthropic after roles at OpenAI and Beehive AI. He combines deep research chops—a Stanford PhD with large-scale experimental data analysis at SLAC and multiple publications from earlier biophysics and micromagnetics work—with hands-on ML engineering to turn cutting-edge models into product features. His background spans experimental optics and automation (writing laser alignment and data-acquisition software) to shipping safety-focused ML at leading labs, giving him a rare perspective on robustness and reproducibility. Known for tackling large datasets and complex pipelines, he brings both scientific rigor and pragmatic product sensibility to AI system design.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS), Engineering Physics, Bachelor of Science (BS), Engineering Physics at The Ohio State UniversityDoctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Stanford University
English
Github Skills (26)
aws7
data-structure7
pandas7
python7
data-structures6
refactoring6
jupyter-notebook6
data-analysis6
plotly6
terraform6
terraform-provider6
visualization6
data-science6
few-shot-learning5
interactive5
Programming languages (2)
Github contributions (5)
henighan/henighan.github.io
Apr 2017 - Jan 2025
Contributions:66 pushes, 4 branches in 7 years 11 months
henighan/deeprl-intro
Mar 2019 - May 2019
Contributions:153 commits, 43 pushes, 22 branches in 1 month
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