Isabelle Lee is a scientist and PhD student in NLP/ML specializing in interpretability and training, bringing 11 years of experience across industry and academia. She currently applies AI to physics at a San Francisco startup after research roles at Carnegie Mellon and Amazon focused on language technologies and NLU for Alexa. Her background in plasma physics and complex systems, plus a strong foundation in physics and math, enables her to bridge domain science with cutting-edge ML methods. Isabelle combines production-minded research with curiosity about model behavior, making her well suited to translate interpretability insights into practical AI systems for scientific discovery.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD NLP/ML - Interpretability & Training, Doctor of Philosophy - PhD NLP/ML - Interpretability & Training at University of Southern California
Master's degree Plasma Physics and Complex Systems, Master's degree Plasma Physics and Complex Systems at University of Washington
Bachelor's degree Physics (hons.) and Mathematics, Bachelor's degree Physics (hons.) and Mathematics at William & Mary
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