Nicole Rafidi
Software Engineer at Google
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNicole Rafidi is a software engineer in New York with a decade of experience at the intersection of machine learning, AI and neuroscience, holding a PhD in Machine Learning from Carnegie Mellon under Tom Mitchell. She has combined research and product-facing roles at DeepMind and Uber before joining Google, bringing both experimental rigor and production-minded engineering to large-scale ML systems. Her background in electrical engineering from Princeton and early internships in creative technologies underpin a practical, interdisciplinary approach to problem solving. Nicole’s work reflects a rare blend of academic research and industry impact, with a focus on translating neuroscience-inspired ideas into deployable ML solutions.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Machine Learning, Doctor of Philosophy (PhD), Machine Learning at Carnegie Mellon UniversityBachelor of Science in Engineering (BSE), Electrical and Electronics Engineering, Bachelor of Science in Engineering (BSE), Electrical and Electronics Engineering at Princeton University
French
Github Skills (6)
statistics6
neuroscience6
neuroimaging5
python5
visualization5
machine-learning4
Programming languages (1)
Github contributions (5)
PrincetonCompMemLab/comp-eeg
Mar 2018 - Aug 2018
Contributions:1 release, 25 commits, 21 pushes in 5 months
nrafidi/thesis-code
Sep 2017 - Jan 2019
Contributions:3050 pushes, 1 branch in 1 year 4 months
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