I am a 2nd year PhD student in Cockrell School of Engineering at UT Austin, advised by Prof. Ufuk Topcu and Prof. Sandeep Chinchali.

Prior to this, I earned my Master’s degree in Computer Science at UC Berkeley, advised by Prof. Pieter Abbeel; and my Bachelor’s degrees in Computer Science and Applied Mathematics.

My research interests include Artificial Intelligence, Robotics, and Computer Vision. I aim to build intelligent robot systems that are able to reason about the physical world and assist humans in complex real-life environments.

Email: ruihan (dot) zhao [at] utexas (dot) edu
[GitHub][CV][LinkedIn][Google Scholar]


  • Class-Aware Adversarial Transformers for Medical Image Segmentation is accepted to NeurIPS 2022.


Albert Zhan*, Ruihan Zhao*, Lerrel Pinto, Pieter Abbeel, Michael Laskin
A Framework for Efficient Robotic Manipulation
Published at IROS 2022 [Project]

Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin
Efficient Empowerment Estimation for Unsupervised Stabilization
Published at ICLR 2021 [Project Page] [Paper] [Code]

Ruihan Zhao, Stas Tiomkin, Pieter Abbeel
Learning Efficient Representation for Intrinsic Motivation
Published at NeurIPS 2019 Deep RL Workshop [Paper]


2021.8 – Now
University of Texas at Austin
Ph.D. in ECE

2016.8 – 2021.5
University of California, Berkeley

M.S. in Computer Science
B.A. in Computer Science & Applied Mathematics


  • 2021.5 – 2021.8, Deep Reinforcement Learning Intern, Intel Labs
    Advisor: Dr. Mariano Phielipp
  • 2019.1 – 2021.5, Research Assistant, Berkeley AI Research (BAIR)
    Advisor: Prof. Pieter Abbeel
  • 2018.8 – 2018.12, Research Assistant, Undergraduate Research Apprentice Program (URAP)
    Advisor: Prof. Gerald Friedland

Other Projects

Ruihan Zhao, Angjoo Kanazawa
Learning Meshes for In-gripper Objects
CS294-173: Learning 3D Vision, final project [Report]

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