The character arc of Fei-Fei Li
A life drawn by Character Arc from the public record
Born 3 July 1976 in Beijing and raised in Chengdu, the daughter of a schoolteacher and a factory computer worker. Between then and now sit an arrival in Parsippany, New Jersey in 1992 at sixteen with no English, a family dry-cleaning shop run at weekends through her Princeton years, a doctorate at Caltech, and the data set she began in 2007 that the field told her was a waste of a career. The line below draws the story so far, in order.
Tap the line to pluck it. Hover or tap any mark for its card. Drawn from the public record of her life; the sources are at the foot of the page.
Who is Fei-Fei Li?
The field said it was a waste, and she built it anyway.
She was born in Beijing in 1976 and grew up in Chengdu, the daughter of a secondary school teacher and a man who worked in the computer department of a chemical factory. Her father left for the United States when she was twelve, and she and her mother followed in 1992, when she was sixteen. The three of them lived in a one-bedroom apartment in Parsippany, New Jersey, and she started high school without the language. A maths teacher named Bob Sabella helped her through the English, and he and his wife lent her parents the money to buy a dry-cleaning business.
She won a scholarship to Princeton in 1995 and took a degree in physics in 1999, travelling home at weekends for four years to run the shop. A doctorate at Caltech followed in 2005. Then, as a young academic, she made the choice her line turns on. The consensus in her field was that better algorithms were what machine vision needed. She argued that what it needed was data, at a scale nobody had attempted, and in 2007 she began building ImageNet: millions of images, labelled by hand through crowdsourced work. Senior colleagues told her it was not a sensible use of an early career.
ImageNet was published in 2009. In 2012 a neural network called AlexNet, entered into the competition she ran on it, cut the error rate almost in half, and that result is now taken as the start of the modern era of artificial intelligence. She directed the Stanford Artificial Intelligence Laboratory from 2013, co-founded AI4ALL in 2017 to widen who gets into the field, and helped open the Stanford Institute for Human-Centered AI in 2019. She published a memoir, The Worlds I See, in 2023, and founded the spatial intelligence company World Labs in 2024. Her line is worth reading because the thing she is famous for is the thing she was advised not to do.
The moments
Fei-Fei Li's timeline.
The 1990s
She arrived in New Jersey
Setback, and it changed everything. Sixteen years old, no English, and a one-bedroom apartment in Parsippany shared by the three of them.
A scholarship to Princeton
Milestone, and it changed everything. Three years after arriving without the language, she was admitted to one of the hardest universities in the country.
The weekend dry cleaners
Everyday, and it changed her direction. Classes in the week, the shop at the weekend, for the whole of her degree.
Her Princeton physics degree
Milestone. She took the degree in physics, not computing, and came to machine vision from the side.
The 2000s
A doctorate from Caltech
Milestone. The training that took her into machine vision, and to the question she would spend a decade answering.
Better algorithms, or more data
Crossroads, decided.
The paths laid out: build the data set nobody wanted, taken, or work on the algorithms. ImageNet was published in 2009, and in 2012 the result it made possible is now taken as the start of the modern era of artificial intelligence.
Told it was a waste
Setback, and it changed everything. Senior colleagues advised her that building a giant labelled data set was not a sensible use of an early career.
ImageNet published
Milestone, and it changed everything. The scale nobody had attempted, built largely through crowdsourced labelling, and then given to the field to use.
She joined Stanford
Milestone, and it changed her direction. The department she would go on to lead, and the base for everything after.
The 2010s
AlexNet changed everything
Milestone, and it changed everything. The result now taken as the ignition of modern artificial intelligence, and it ran on the ground she had laid.
Director of the Stanford lab
Milestone. She took charge of one of the oldest and most influential artificial intelligence laboratories in the world.
She co-founded AI4ALL
Milestone, and it changed her direction. A programme to bring students into the field who would not otherwise have found a way in.
Stanford HAI opened
Milestone, and it changed her direction. An institute built on the argument that the technology has to be designed around people rather than the other way round.
The 2020s
The Worlds I See
Milestone. She set down the whole climb in her own words, from Chengdu to the laboratory.
She founded World Labs
Milestone, and it changed everything. At forty-eight she started a company, to give machines an understanding of three-dimensional space.
World Labs shipped Atlas
Milestone. The spatial intelligence argument turned into a product people can use.
The line reaches today still adding to itself, which is why it is drawn now rather than at the end. What it has set moving is already everywhere: nearly every system that recognises a face, reads a scan or steers a car learned to see on the ground she laid.
What she wrote
Books by Fei-Fei Li
- 2023
The Worlds I See
Your turn
Every line draws a unique story.
Hers turns on one unfashionable decision taken in her twenties. Yours is already further along than you think, and drawing it takes about five minutes.
Fei-Fei Li: frequently asked questions
What people ask about her line.
What is Fei-Fei Li's character arc?
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What is Fei-Fei Li doing now?
Where does this timeline of Fei-Fei Li's life come from?
More character arcs
Lives that rhyme with her.
Sources
- Fei-Fei Li, Britannica biography.
- Fei-Fei Li, English Wikipedia biography.
- Fei-Fei Li, Stanford Profiles (profiles.stanford.edu).
- Fei-Fei Li, The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI, 2023.
- Fei-Fei Li and World Labs, IEEE Spectrum.