Jiantao Jiao

Jiantao Jiao is an Assistant Professor at the University of California, Berkeley, affiliated with the Department of Electrical Engineering and Computer Sciences and the Department of Statistics. His research spans generative AI, foundation models, and systems for robust machine learning, integrating economics, statistics, and computation.

• Ph.D., Electrical Engineering, Stanford University (2018)

His research interests include:

• Generative AI and foundation models
• Statistical machine learning and reinforcement learning
• Privacy and security in machine learning
• Optimization and economic perspectives of ML
• Applications in NLP, code generation, computer vision, and robotics

Recent publications focus on reinforcement learning, generative AI alignment, and robust statistical methods. He co-directs the CLIMB research center and is affiliated with BAIR, RDI, and BLISS labs. His advisees include prominent graduate students working on foundational and applied machine learning. Teaching includes courses on statistical signal processing, probability, and convex optimization.