
American computer scientist (born 1976) · United States[1]
Fei-Fei Li is a Chinese-born American computer scientist best known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is a professor of computer science at Stanford University, with research expertise in artificial intelligence, machine learning, deep learning, computer vision, and cognitive neuroscience.
One octagon for each phase of the life of Fei-Fei Li. Each of the eight axes is scored 0 to 5 against a written rubric from documented evidence, with its source; an axis without evidence is a gap, not a zero. There is no total and no ideal shape: it is a profile, not a ranking. Appearance and personality are not axes, because they cannot be scored from evidence.
No total and no ideal shape: a longer spoke means more of that axis, so a long Misconduct spoke is more documented misconduct.
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