This guy is a rockstar:
Ian J. Goodfellow[1] (born 1985 or 1986) is a
computer scientist,
engineer, and
executive, most noted for his work on
artificial neural networks and
deep learning. He was previously employed as a research scientist at
Google Brain and director of machine learning at
Apple and has made several important contributions to the field of
deep learning including the invention of the
generative adversarial network (GAN). 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.
[2]
Biography
Goodfellow obtained his
B.S. and
M.S. in computer science from
Stanford University under the supervision of
Andrew Ng,
[3] and his Ph.D. in machine learning from the
Université de Montréal in April 2014, under the supervision of
Yoshua Bengio (2018
ACM A.M. Turing Award for his work in deep learning) and Aaron Courville. His thesis is titled
Deep learning of representations and its application to computer vision.
[4][5] After graduation, Goodfellow joined
Google as part of the
Google Brain research team.
[6] He then left Google to join the newly founded
OpenAI research laboratory.
[7][8] He returned to Google Research in March 2017.
Goodfellow is best known for inventing
generative adversarial networks.
[1] At Google, he developed a system enabling
Google Maps to automatically transcribe addresses from photos taken by
Street View cars[9][10] and demonstrated security vulnerabilities of machine learning systems.
[11][12]
In 2017, Goodfellow was cited in
MIT Technology Review's 35 Innovators Under 35.
[13] In 2019, he was included in
Foreign Policy's list of 100 Global Thinkers
[14] and left Google and joined
Apple as director of machine learning the Special Projects Group.
[15][16] In April 2022 he resigned to protest Apple's plan to require in-person work for its employees.
[17]
