Effie Li
Research Scientist at Google DeepMind
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolEffie Li is a research scientist based in the San Francisco Bay Area who studies how learning dynamics and internal computations in deep learning models parallel human cognition. With eight years of research experience and a PhD in Cognitive Psychology from Stanford, she blends computational modeling, EEG-informed neural memory decoding, and self-supervised pretraining to probe episodic memory and embodied agents. Her trajectory includes internships at Meta and AI2 and a current role at Google DeepMind, reflecting a focus on bridging theoretical accounts of learning with scalable model behavior. Colleagues describe her work as curiosity-driven but rigorously quantitative—she often seeks empirical signatures of cognition that are not obvious from model performance metrics alone.
8 years of coding experience
Hangzhou Foreign Languages SchoolBachelor of Science (BS), Computer Science, Psychology, Bachelor of Science (BS), Computer Science, Psychology at Trinity College-HartfordDoctor of Philosophy - PhD, Cognitive Psychology, Doctor of Philosophy - PhD, Cognitive Psychology at Stanford University
Japanese, English, ChineseGithub contributions (5)
efeelize/work_notes
Nov 2017 - Jan 2020
Contributions:246 pushes, 1 branch in 2 years 1 month
efeelize/law
Nov 2017 - Jul 2022
Contributions:744 pushes, 1 branch in 4 years 8 months
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