Anelise Newman
Machine Learning Engineer -- Eval Lead at Reve
Los Angeles Metropolitan Area United States
Summary
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Senior🎓
Top SchoolAnelise Newman is a machine learning engineer with a decade of experience building human-in-the-loop systems that evaluate and improve the quality and safety of generative AI. She blends deep expertise in scalable data pipelines and infrastructure with rigorous experimental design to extract reliable signals from noisy human data. Her work spans industry and academia—from production evaluation and backtesting at Stitch Fix and Adobe to research-driven models of human perception and memorability at MIT and Stanford. She led impactful evaluation strategies that unlocked model rollouts and created tooling for image-based deep learning, and she continues to drive GenAI evaluation at Reve. Notably, her PhD research trained hundreds of RL agents and ran human-subject studies, giving her rare hands-on experience aligning agent behavior with real human collaborators. Based in Los Angeles, she excels at turning complex human-data challenges into production-ready systems.
10 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Massachusetts Institute of TechnologyHigh School, High School at Chaminade College Preparatory High SchoolDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
English, Spanish, French
Github Skills (12)
pinch-zoom10
mechanical-turk9
react6
mobile5
methodology2
python1
machine-learning1
deep-learning1
embedding1
tensorflow1
crowdsourcing1
cursor1
Programming languages (4)
Github contributions (5)
a-newman/mturk-api-notebook
Sep 2018 - Jan 2020
Contributions:4 commits, 3 pushes, 1 branch in 1 year 4 months
a-newman/dotfiles
Sep 2019 - Apr 2026
Contributions:34 pushes, 1 branch in 6 years 7 months
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