Fei-Fei Li

Fei-Fei Li
Fei-Fei Li
	Li at AI for Good in 2017
Born	1976 (age 47–48); Beijing, China
Nationality	American
Alma mater	Princeton University (BA); California Institute of Technology (PhD);
Known for	Computer vision; Machine learning; Artificial intelligence; AI in healthcare; Cognitive neuroscience;
Awards	Elected to National Academy of Engineering (2020); National Academy of Medicine (2020); American Academy of Arts and Sciences (2021); ACM Fellow (2018);
	Scientific career
Fields	Artificial Intelligence; Machine Learning; Computer Vision; Neuroscience
Institutions	Stanford University; Google;
Thesis	Visual Recognition: Computational Models and Human Psychophysics (2005)
Doctoral advisor	Pietro Perona; Christof Koch;
Doctoral students	Olga Russakovsky; Timnit Gebru; Andrej Karpathy;
Website	profiles.stanford.edu/fei-fei-li

Fei-Fei Li (李飞飞; born 1976) is a China-born American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is Sequoia Capital professor of computer science at Stanford University and former board director at Twitter. Li is a co-director of the Stanford Institute for Human-Centered Artificial Intelligence and a co-director of the Stanford Vision and Learning Lab. She served as the director of the Stanford Artificial Intelligence Laboratory from 2013 to 2018.

In 2017, she co-founded AI4ALL, a nonprofit organization working to increase diversity and inclusion in the field of artificial intelligence. Her research expertise includes artificial intelligence, machine learning, deep learning, computer vision and cognitive neuroscience.

Li was elected as a member of the National Academy of Engineering in 2020, the National Academy of Medicine in 2020, and the American Academy of Arts and Sciences in 2021.

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.