Quanquan Liu
Postdoctoral Researcher, Yale University
Quanquan C. Liu has been a postdoctoral scholar at Northwestern University advised by Samir Khuller. She completed her PhD in Computer Science at MIT where she was advised by Erik D. Demaine and Julian Shun. Before that, she obtained her dual bachelor’s degree in computer science and math also at MIT. She has worked on a number of problems in algorithms and the intersection between theory and practice. Her most recent work focuses on parallel dynamic and static graph algorithms as well as differentially private graph algorithms. She has earned the Best Paper Award at SPAA 2022, a NSF Graduate Research Fellowship, and participated in the 2021 EECS Rising Stars workshop.