Dr. Jiantao Jiao

Assistant Professor

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Biography

Jiantao Jiao is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley. His research focuses on the theory of robust learning systems, including areas such as (inverse) reinforcement learning and the interplay between economics, statistics, computation, and distributed systems. He has a strong background in artificial intelligence and intelligent systems, contributing significantly to the fields of robotics and communications networking. His work aims to integrate various computational theories with practical applications in real-world scenarios, fostering advancements in these interconnected domains.

Research Interests

Artificial Intelligence Control Intelligent Systems Robotics Communications Networking

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.