Innovators Under 35 Roundtable: AI Futures
Chelsea Finn, University of California, Berkeley, Jonas Cleveland, COSY Robotics, Julian Schrittwieser, DeepMind, and John Schulman, OpenAI
September 12, 2018 | EmTech
Will Knight in discussion with the Innovators Under 35
Chelsea Finn, PhD Candidate, University of California, Berkeley
Chelsea Finn is a fourth-year PhD student in computer science at UC Berkeley, where she works on machine learning and its intersection with robotic perception and control. She is a part of the Berkeley AI Research Lab (BAIR), advised by Pieter Abbeel and Sergey Levine. She recently spent time at Google Brain.
Before graduate school, Chelsea received a bachelor’s in EECS at MIT, where she worked on several research projects, including an assistive technology project in CSAIL under Seth Teller and an animal biometrics project under Sai Ravela. She has also spent time at Counsyl, Google, and Sandia National Labs.
Jonas Cleveland, Cofounder and President, COSY Robotics
Jonas Cleveland is an entrepreneur in AI and robotics. He holds several patents in computer vision, machine perception, and robot mapping and has published in several of the leading journals and conferences in robotics and automation. He is also cofounder and CEO/CTO of COSY, a spinout of the GRASP Lab at UPenn that brings AI and computer vision to the store floor for leading retailers. The company is venture-backed by Benjamin Franklin, Polis Ventures, and Intel Capital. Jonas has received multiple awards for his work in product development and entrepreneurship, including LinkedIn’'s Next Wave Award and Comcast’s Billy Penn Who’s Next Entrepreneurs. He has a degree from Carnegie Mellon in electrical and computer engineering and received his master’s at UPenn in robotics while starting COSY.
Julian Schrittwieser, Staff Software Engineer, DeepMind
Julian Schrittwieser studied computer science at the Technical University of Vienna and was hired by Google as a software engineer after his first year of university. After a year at Google and hearing an inspiring talk by DeepMind cofounder Demis Hassabis, he decided to move to DeepMind. Julian is now the lead software engineer on DeepMind’s AlphaGo Zero project, working on everything from the main search algorithm and the training framework to support for new hardware, such as Google’s TPUs. Additionally, Julian is creating network architectures to tackle yet-unsolved domains.
With the help of Julian’s research, AlphaGo mastered the game of Go a decade before experts thought possible. With his team’s ongoing AlphaGo Zero research, he is working to make the problem-solving approach more widely applicable to address complex areas such as drug discovery and the design of new materials.
John Schulman, Research Scientist, OpenAI
John Schulman is a research scientist at OpenAI and a member of the founding team. He co-developed some of the most widely used reinforcement learning algorithms (TRPO and PPO) and software packages (OpenAI Gym and Baselines). He received a PhD in computer science from UC Berkeley and a BS in physics from Caltech.
Innovators Under 35
individuals whose superb technical work promises to shape the coming decades through the development of new technology or the creative application of existing technologies to solve problems.