Fei-Fei Li is a prominent Chinese-American computer scientist renowned for her pioneering work in artificial intelligence and computer vision. She is best known for establishing ImageNet, a groundbreaking dataset that spurred rapid advancements in computer vision in the 2010s. Currently, Li serves as the Sequoia Capital Professor of Computer Science at Stanford University, where she is also the co-director of the Stanford Institute for Human-Centered Artificial Intelligence and the Stanford Vision and Learning Lab. Her leadership in the Stanford Artificial Intelligence Laboratory from 2013 to 2018 further solidified her position as a key figure in the AI community.
Beyond her academic accomplishments, Fei-Fei Li is dedicated to promoting diversity and inclusion in the field of artificial intelligence. In 2017, she co-founded AI4ALL, a nonprofit organization aimed at inspiring underrepresented groups to pursue careers in AI. Her research expertise encompasses artificial intelligence, machine learning, deep learning, computer vision, and cognitive neuroscience, making her a well-rounded leader in both academic and practical applications of technology.
Li’s contributions to the field have garnered significant recognition. She was named one of Time magazine’s 100 Most Influential People in AI in 2023 and received the Intel Lifetime Achievements Innovation Award the same year. Additionally, she was elected to the National Academy of Engineering and the National Academy of Medicine in 2020, as well as the American Academy of Arts and Sciences in 2021.
In August 2023, Fei-Fei Li was appointed to the United Nations Scientific Advisory Board by Secretary-General Antonio Guterres, further extending her influence on global AI policy. In 2024, she was recognized on Gold House’s most impactful Asian A100 list, highlighting her commitment to innovation and social impact in technology.