Ronitt Rubinfeld

Ronitt Rubinfeld is the Edwin Sibley Webster Professor of Electrical Engineering and Computer Science at MIT, affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL). She holds a PhD from UC Berkeley (1991) and a BSE in Electrical and Computer Engineering from the University of Michigan. Prior to MIT, she was at Cornell University and NEC Research Laboratories. Her research focuses on randomized and sublinear-time algorithms, exploring how to understand data with minimal sampling. Notable roles include ONR Young Investigator, Sloan Fellow, and Radcliffe Fellow. She advises numerous PhD and master’s students, contributing to fields like algorithmic theory and data science.

• Education: PhD UC Berkeley (1991), BSE University of Michigan.
• Affiliations: MIT CSAIL, Theory of Computation Group, Algorithms Group.

Research Interests: Sublinear algorithms, randomized algorithms, distribution testing, and complexity theory. Her work bridges theoretical foundations with practical applications in big data analysis.

Awards: ONR Young Investigator, Sloan Research Fellowship, Cornell Teaching Award, Radcliffe Fellowship.

Advising: Supervised 20+ PhD students (e.g., Funda Ergun, Badih Ghazi) and 10+ master’s students. Current advisees include Amartya Biswas and Ted Pyne. Grants include NSF funding for distribution testing and sublinear algorithms.

Labs/Teams: Core member of MIT Theory of Computation group, CSAIL Algorithms Group, and collaborator on projects like WOLA (Workshop on Sublinear Algorithms).