Jiantao Jiao


I am an Assistant Professor in the Department of Electrical Engineering and Computer Sciences and Department of Statistics at University of California, Berkeley. I received the Ph.D. degree from Stanford University in 2018. I am a member of the Berkeley Laboratory of Information and System Sciences (BLISS) and the Berkeley Artificial Intelligence Research (BAIR) Lab. I am broadly interested in statistical machine learning, mathematical data science, optimization, applied probability, information theory, and their applications in science and engineering.

Recently, my 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.

Recent publications


University of California, Berkeley

Department of Electrical Engineering and Computer Sciences

257M Cory Hall

Berkeley, CA 94720-1770

Email: jiantao [at] eecs [dot] berkeley [dot] edu

Due to the large volume of emails that I receive, I generally do not respond to unsolicited inquiries about student or postdoc openings, or research advice. Nevertheless, if you have a strong quantitative background and think your interests are compatible with mine, please feel free to contact me.