Researchers in Residence

Jeremy Howard, Distinguished Scholar in Deep Learning

Jeremy Howard is an entrepreneur, business strategist, developer, and educator. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a faculty member at Singularity University, and a Young Global Leader with the World Economic Forum.

Jeremy’s most recent startup, Enlitic, was the first company to apply deep learning to medicine, and has been selected one of the world’s top 50 smartest companies by MIT Tech Review two years running. He was previously the President and Chief Scientist of the data science platform Kaggle, where he was the top ranked participant in international machine learning competitions two years running. He was the founding CEO of two successful Australian startups (FastMail, and Optimal Decisions Group–purchased by Lexis-Nexis). Before that, he spent eight years in management consulting, at McKinsey & Co, and AT Kearney. Jeremy has invested in, mentored, and advised many startups, and contributed to many open source projects.

He has many television and other video appearances, including as a regular guest on Australia’s highest-rated breakfast news program, a popular talk on TED.com, and data science and web development tutorials and discussions.

Rachel Thomas, Researcher in Residence

Rachel has a PhD in mathematics from Duke University, and is a cofounder of the fast.ai research lab. She is currently researching how to make deep learning more accessible and widely applicable. Previously she was a data scientist and software developer at Uber, and taught programming at Hackbright.

Rachel loves teaching. She has taught Calculus at the college level, as well as leading intensive analysis reviews for incoming Duke graduate students. She was the founder and organizer of a graduate level asymptotics course. At Hackbright Academy, she taught the full web development stack, including deployment, as well as data structures and algorithms.

Rachel is passionate about increasing diversity in tech. Her article "If you think women in tech is just a pipeline problem, you haven't been paying attention" has been read by nearly 200,000 people, made the front page of Hacker News, and was featured by O'Reilly, Fortune, CrunchBase, and MatterMark.

Rachel graduated Phi Beta Kappa from Swarthmore College with a degree in mathematics, computer science, and linguistics, and won the Brinkmann prize for top mathematical paper. At Duke University, she was awarded the James B. Duke Fellowship and a Howard Hughes Fellowship.

Contact Info

The Data Institute

Mon-Fri, 9 a.m. - 5 p.m.

101 Howard St. Suite 500, San Francisco, CA 94105 (415) 422-4743