Ian Goodfellow has been a deep learning researcher since circa 2008. He developed the first defenses against adversarial examples, was among the first to study the security and privacy of neural networks, and helped to popularize the field of machine learning security and privacy. He is the lead author of the MIT Press textbook Deep Learning (www.deeplearningbook.org). Previously, Ian has worked at OpenAI and Willow Garage, and has study with Andrew Ng and Gary Bradski at Stanford University, and with Yoshua Bengio and Aaron Courville at Université de Montréal. Ian was listed among MIT Technology Review's 35 Innovators under 35 in 2017 and Foreign Policy's 100 Global Thinkers in 2019.