|Born||1985/1986 (age 35–36)|
|Alma mater||Stanford University|
Université de Montréal
|Known for||Generative adversarial networks, Adversarial Examples|
|Institutions||Apple Inc. |
|Thesis||Deep Learning of Representations and its Application to Computer Vision (2014)|
|Doctoral advisor||Yoshua Bengio|
Ian J. Goodfellow (born 1985 or 1986) is a researcher working in machine learning, currently employed at Apple Inc. as its director of machine learning in the Special Projects Group. He was previously employed as a research scientist at Google Brain and has made several contributions to the field of deep learning. Goodfellow wrote the chapter on deep learning in the most popular textbook in the field of artificial intelligence: Artificial Intelligence: A Modern Approach used in more than 1,500 universities in 135 countries as well as the textbook Deep Learning.
Goodfellow obtained his B.S. and M.S. in computer science from Stanford University under the supervision of Andrew Ng, and his Ph.D. in machine learning from the Université de Montréal in April 2014, under the supervision of Yoshua Bengio and Aaron Courville. His thesis is titled "Deep learning of representations and its application to computer vision". After graduation, Goodfellow joined Google as part of the Google Brain research team. He then left Google to join the newly founded OpenAI institute. He returned to Google Research in March 2017.
Goodfellow is best known for inventing generative adversarial networks. He is also the lead author of the textbook Deep Learning. At Google, he developed a system enabling Google Maps to automatically transcribe addresses from photos taken by Street View cars and demonstrated security vulnerabilities of machine learning systems.