Ian Goodfellow is a computer scientist, executive, and engineer who is best known for his contributions to deep learning and artificial neural networks. Goodfellow has an impressive CV and has worked at some of the industry’s most prestigious companies.
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Education
After earning his Masters in Computer Science at Stanford University, Goodfellow undertook a Ph.D. in Machine Learning from the Université de Montréal between 2010 and 2014.
In Montréal, Goodfellow “invented maxout networks, generative adversarial networks, multi-prediction deep-Boltzmann machines, and a new fast inference algorithm for spike-and-slab sparse coding.” He was also involved in the development (and popularization) of the machine learning research library known as Pylearn 2.
Goodfellow’s contributions to generative adversarial networks (GANs) later enabled deep learning AI to possess something akin to human imagination. For this pioneering work, he is often referred to as the “GANfather”.
Goodfellow joined Google in June 2013 as a software engineering intern. One of his primary tasks was to devise a deep neural network that could read address numbers from Google Street View images.
Goodfellow became a research scientist in July of the following year. Between July 2014 and November 2015, he worked on TensorFlow and devised a new method for the generation of adversarial examples to improve neural networks.
In November, Goodfellow became a senior member of the Google Brain team before leaving the company to pursue other opportunities.
OpenAI and return to Google
The first of these opportunities was OpenAI, with Goodfellow joining the company in March 2016 whilst it was in the early phases of assembling a team of AI researchers. Goodfellow, like his counterparts, was no doubt attracted by a shared vision and the freedom the pursue it without central control.
However, he left OpenAI after just over a year, with a later Reddit post in r/MachineLearning explaining the reason: “I returned to Google Brain because as time went on I found that my research focus on adversarial examples and related technologies like differential privacy saw me collaborate predominantly with colleagues at Google.”
Subsequently, Goodfellow worked as a staff research scientist at Google until March 2019 until another career move saw him end up at Apple.
Apple
It was announced in April 2019 that Goodfellow had joined Apple’s Special Projects Group as a director of machine learning. There, he supervised machine learning and artificial intelligence staff on various related features for FaceID, Siri, and the company’s autonomous vehicle division otherwise known as Project Titan.
After three years, Goodfellow left Apple to return to Google once again. At the time, Bloomberg reported that Tim Cook’s strict return-to-office policy was one of the main contributors to the move.
DeepMind
Goodfellow joined DeepMind as a research scientist in June 2022.
While little information was provided on where he would fit in at the research laboratory, TNW noted that he would be serving as an independent researcher where he would be “given anything and everything he needs to do his best work.”
Key takeaways:
- Ian Goodfellow is a computer scientist, executive, and engineer who is best known for his contributions to deep learning and artificial neural networks. Goodfellow has an impressive CV and has worked at some of the industry’s most prestigious companies.
- Goodfellow’s contributions to generative adversarial networks (GANs) later enabled deep learning AI to possess something akin to imagination. For this pioneering work, Goodfellow is often referred to as the “GANfather”.
- Goodfellow joined Google in June 2013 as a software engineering intern. One of his primary tasks was to devise a deep neural network that could read address numbers from Google Street View images. Since that time, he has left Google twice to join OpenAI and then Apple, but currently serves as a researcher at DeepMind.
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