No specific information provided about academic achievements.
Research Experience
Currently a member of technical staff at OpenAI. Before joining OpenAI, he was a research scientist at Google DeepMind. He worked as an adjunct lecturer at Stanford University for academic years 2020-2022 and 2023-2024. Prior to DeepMind, he was a research scientist at Adobe Research and Yahoo Labs. He is also an action editor of Transactions on Machine Learning Research.
Education
He received a Ph.D. in Electrical Engineering from Stanford University, under the supervision of Prof. Benjamin Van Roy. He also holds a Ph.D. minor in Business/Finance from the Stanford Graduate School of Business.
Background
His current research and work focus on Artificial General Intelligence (AGI). He is also a researcher in the field of reinforcement learning. His research interests include: General fields of Artificial General Intelligence, Machine Learning, and Operations Research; Specific areas such as Reinforcement Learning, Online Learning, and Bandits; AI Safety; Deep Bayesian Learning and Uncertainty Modeling; Recommender Systems, Online Advertising, and Revenue Management.
Miscellany
No information provided about personal interests or hobbies.