Bio


C. Karen Liu is an associate professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics. She developed computational approaches to modeling realistic and natural human movements, learning complex control policies for humanoids and assistive robots, and advancing fundamental numerical simulation and optimal control algorithms. The algorithms and software developed in her lab have fostered interdisciplinary collaboration with researchers in robotics, computer graphics, mechanical engineering, biomechanics, neuroscience, and biology. Liu received a National Science Foundation CAREER Award, an Alfred P. Sloan Fellowship, and was named Young Innovators Under 35 by Technology Review. In 2012, Liu received the ACM SIGGRAPH Significant New Researcher Award for her contribution in the field of computer graphics.

Academic Appointments


Honors & Awards


  • SIGGRAPH Significant New Research Award, ACM (2012)
  • Alfred P. Sloan Research Fellowship, Alfred P. Sloan Foundation (2010)
  • Young Innovators Under 35, MIT Technology Review (2007)
  • CAREER Award, National Science Foundation (2007)

Professional Education


  • BS, National Taiwan University, Computer Science (1999)
  • MS, University of Washington, Computer Science (2001)
  • PhD, University of Washington, Computer Science (2005)

Stanford Advisees


  • Doctoral Dissertation Reader (AC)
    Zhenglin Geng
  • Postdoctoral Faculty Sponsor
    Ioannis Exarchos
  • Orals Evaluator
    Zhenglin Geng
  • Master's Program Advisor
    Fenglu Hong, Abhishek Sinha, Takara Truong, Xuanyu Zhou
  • Doctoral (Program)
    Michelle Guo, Yifeng Jiang

All Publications


  • Personalized collaborative plans for robot-assisted dressing via optimization and simulation AUTONOMOUS ROBOTS Kapusta, A., Erickson, Z., Clever, H. M., Yu, W., Liu, C., Turk, G., Kemp, C. C. 2019; 43 (8): 2183–2207
  • Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation ACM TRANSACTIONS ON GRAPHICS Jiang, Y., Van Wouwe, T., De Groote, F., Liu, C. 2019; 38 (4)
  • Sim-to-Real Transfer for Biped Locomotion IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Yu, W., Kumar, V. C., Turk, G., Liu, C. 2019
  • Policy Transfer with Strategy Optimization Yu, W., Liu, C., Turk, G. 2019
  • Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing Erickson, Z., Clever, H. M., Gangaram, V., Turk, G., Liu, C., Kemp, C. C. 2019