Jiantao Jiao is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences and Department of Statistics at UC Berkeley. Jiantao received his PhD degree from Stanford University in 2018. He is a member of the Berkeley Laboratory of Information and System Sciences (BLISS) and the Berkeley Artificial Intelligence Research (BAIR) Lab. Jiantao is broadly interested in statistical machine learning, mathematical data science, optimization, applied probability, information theory, and their applications in science and engineering. Recently, his research has been focusing on the theory and system of robust learning, (inverse) reinforcement learning, the interplay between economics, statistics, and computation, and distributed (permissionless) systems.