Rhonda Righter

Professor, UC Berkeley
Rhonda Righter is a Professor and past Chair of the Department of Industrial Engineering and Operations Research at the University of California, Berkeley. Before joining the faculty at Berkeley she taught at the Leavey School of Business at Santa Clara University. Her PhD is in Industrial Engineering and Operations Research from UC Berkeley, her BS is in applied math and business from Carnegie Mellon. Her primary research and teaching interests are in the general area of stochastic modeling and optimization, especially as applied to service, manufacturing, telecommunications, and large-scale computing systems. She is an associate editor for Queueing Systems, Probability in the Engineering and Informational Sciences, Stochastic Models, and the INFORMS Service Science Journal. She has also served on the editorial boards of Management Science, Operations Research, Operations Research Letters, the Journal of Scheduling, and Naval Research Logistics. She is the past (founding) Chair of the Applied Probability Society (APS) of INFORMS and currently serves on the APS Prize Committee.

Program Visits

Data-Driven Decision Processes, Fall 2022, Visiting Scientist
Algorithms and Uncertainty, Fall 2016, Visiting Scientist
stochastic modeling, stochastic optimization, scheduling, performance analysis