Papers
3
Total Citations
2,218
H-Index
3
About
Mina Lee is a leading researcher at the intersection of artificial intelligence and robotics, whose work has profoundly shaped our understanding of large-scale AI systems. She is best known as a co-author of the seminal report "On the Opportunities and Risks of Foundation Models" (2021), which has garnered over 2,100 citations. This landmark paper introduced the term "foundation models" to describe models like BERT, DALL-E, and GPT-3, and critically examined their capabilities, limitations, and societal implications—a work that has become foundational reading for the AI community. Beyond AI, Lee has made significant contributions to rehabilitation robotics. Her work on a sensory stimulation-based continuous passive motion mirror therapy system (2020) advanced post-stroke rehabilitation by integrating EEG and EMG analysis to quantify therapeutic effects. More recently, she developed the Passively Addressed Robotic Morphing Surface (PARMS, 2023), a machine-learning-driven reconfigurable surface that enables compact, efficient control for human-machine interfaces and bio-inspired robotics. Through these diverse contributions, Lee has demonstrated a rare ability to bridge theoretical AI frameworks with tangible robotic systems, making her a distinctive voice in both fields.
Research Focus
Key Achievements
Top Papers
- 1On the Opportunities and Risks of Foundation Models2,177 citations · 2021
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