Bio


Sharon Y. Li completed her PhD from Cornell University in 2017, where she was advised by John E. Hopcroft. Her thesis committee members are Kilian Q. Weinberger and Thorsten Joachims. Her principal research interests are in machine learning and representation learning. In particular, her recent research focuses on designing machine learning models to enable more generalizable and reliable representations for complex visual data, in settings where strong human supervision is either present or absent. Prior to Stanford, she has spent time at Google Research twice as an intern, and at Facebook AI as a Research Scientist. She was selected as one of the "Rising Stars in EECS" by Stanford University in 2017. She is the recipient of ACM-W Scholarship, D.E.Shaw Exploration Fellowship and Cornell Graduate Research Fellowship.

Professional Education


  • Bachelor of Engineering, Shanghai Jiaotong University (2013)
  • Doctor of Philosophy, Cornell University (2017)
  • PhD, Cornell University (2017)

Stanford Advisors


  • Chris Re, Postdoctoral Faculty Sponsor