Researcher · Founder
Ian Goodfellow
Stealth StartupCo-founder
🇺🇸 AmericanBorn 1987
Goodfellow invented generative adversarial networks, in which one neural network learns to create data by trying to fool another.[1] He also helped explain how tiny, deliberate input changes can fool neural networks[2], and co-wrote Deep Learning, a standard textbook that made the field accessible to students and practitioners.[3]
Career & education
Google DeepMindUntil 2025
Apple2019-2022
OpenAI2016-2017
Stanford University
Université de MontréalWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Selected contributions
Generative Adversarial Networks
With Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville and Yoshua BengioGANs pit two networks against each other: one creates examples while the other learns to spot fakes.
Deep Learning
With Yoshua Bengio and Aaron CourvilleA textbook on neural networks, their mathematical foundations and practical applications.
References
- Generative Adversarial Networks — original paperarxiv.org
Goodfellow invented generative adversarial networks, in which one neural network learns to create data by trying to fool another.
- Explaining and Harnessing Adversarial Examplesresearch.google
He also helped explain how tiny, deliberate input changes can fool neural networks
- Deep Learning — official textbookdeeplearningbook.org
and co-wrote Deep Learning, a standard textbook that made the field accessible to students and practitioners.
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Reviewed July 23, 2026 · Checked for accuracy and new information.