Shuran Song is an Assistant Professor of Electrical Engineering at Stanford University. Before joining Stanford, she was faculty at Columbia University. Shuran received her Ph.D. in Computer Science at Princeton University, BEng. at HKUST. Her research interests lie at the intersection of computer vision and robotics. Song’s research has been recognized through several awards, including the Best Paper Awards at RSS’22 and T-RO’20, Best System Paper Awards at CoRL’21, RSS’19, and finalists at RSS, ICRA, CVPR, and IROS. She is also a recipient of the NSF Career Award, Sloan Foundation fellowship as well as research awards from Microsoft, Toyota Research, Google, Amazon, and JP Morgan.

To learn more about Shuran’s work, please visit:

Academic Appointments

Honors & Awards

  • Research Scholar, Google (2023)
  • Gabilan Faculty Fellow, Stanford (2023)
  • Microsoft Faculty Fellowship, Microsoft (2021)
  • Research Fellowship, Alfred P. Sloan Foundation (2022)
  • Career Award, National Science Foundation (2022)

All Publications