Jing-jing Li
Research Fellow at Anthropic
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJing-jing Li is a UC Berkeley PhD candidate blending cognitive neuroscience and computer science to advance AI safety, interpretability, and human-aligned ML. She has three years of research experience spanning academia and industry, including internships and fellowships at AI2, AWS, and Anthropic where she led projects on LLM safety, evaluation, tool use, and synthetic data. Her work draws on prior neuroimaging and electrophysiology expertise—developing ML classifiers for seizure impact prediction and decoding visual representations from fMRI—which informs her approach to model transparency and robustness. Jing-jing is actively seeking a Research Scientist role starting May 2026 and brings a rare combination of experimental neuroscience rigor and practical alignment engineering. Colleagues describe her research as both methodical and application-minded, often translating cognitive principles of learning and decision-making into safer ML interventions.
3 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computational Cognitive Neuroscience, Doctor of Philosophy - PhD Computational Cognitive Neuroscience at University of California, BerkeleyHigh School, High School at The High School Affiliated to Renmin University of ChinaBachelor's degree Computer Science and Mathematics, Bachelor's degree Computer Science and Mathematics at Cornell UniversityNeuroscience, Neuroscience at William & Mary
Github Skills (21)
pytorch9
inference9
cuda9
gpt8
transformer8
llm8
amd8
tpu7
llmops7
llama7
mlops7
gpu6
jit5
xpu5
annotator3
Programming languages (3)
Github contributions (5)
jl3676/jl3676.github.io
Jun 2024 - Mar 2025
Contributions:143 pushes, 1 branch in 9 months
jl3676/learning_hierarchy
May 2024 - Nov 2024
Contributions:126 pushes, 3 branches in 6 months
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