Andrew and Erna Viterbi Early Career Chair in Engineering
Associate Professor of Industrial & Systems Engineering and of Computer Science
Co-Director, CAIS Center for Artificial Intelligence in Society
Founding Co-Director, NSF-funded ORAI Program in Operations Research and Artificial Intelligence
University of Southern California
I am an Associate Professor of Industrial & Systems Engineering and of Computer Science at the University of Southern California, where I hold the Andrew and Erna Viterbi Early Career Chair in Engineering. I am Co-Director of the Center for Artificial Intelligence in Society (CAIS) and founding Co-Director of the NSF-funded ORAI interdisciplinary graduate training program in Operations Research and Artificial Intelligence. Previously, I was a lecturer in the Operations Research and Statistics Group at the MIT Sloan School of Management and a postdoctoral research associate in the Operations Research Center at MIT. I hold a PhD in Operations Research and an MEng in Electrical and Electronic Engineering, both from Imperial College London.
My research integrates operations research and artificial intelligence to develop methods for engineering responsible AI-enabled systems. I study how optimization, machine learning, causal inference, and human judgment can be combined to support consequential decisions under uncertainty, resource constraints, and changing deployment conditions. A central goal of my work is to design predictive and prescriptive models, and the systems in which they operate, so that they are robust, interpretable, fair, and suitable for real-world deployment. My research is motivated by applications in public services, healthcare, homelessness services, environmental systems, transportation, and other domains where data-driven decisions have high stakes.
I am a recipient of the NSF CAREER Award, the Imperial College Emerging Alumni Leader Award, and the USC Viterbi Junior Research Award. I am a TED speaker and participated in the TIME100 Impact Dinner for Extraordinary Women Shaping the Future of AI. My students have earned prestigious awards, including the NSF Graduate Research Fellowship and the USC Discovery Scholar Prize.
I am an Associate Editor for Operations Research, Management Science, Computational Management Science, and Operations Research Letters. I am a member of the INFORMS AI Roadmap Ad Hoc Committee. From 2023 to 2025, I served as Chair of the Committee on Stochastic Programming (COSP), the governing body of the Stochastic Programming Society. Previously, I served as a member of COSP, as a member of the INFORMS AI Strategy Advisory Committee, and as VP of Communications for the INFORMS Section on Public Sector Operations Research.
My research has been supported by the National Science Foundation, the National Alliance to End Homelessness, the Hilton Foundation, the Home for Good Foundation, the Homeless Policy Research Institute, the U.S. Army Research Laboratory’s Army Research Office, Schmidt Futures, the METRANS Transportation Center, and the Zumberge Grant Program at USC, among others.
My Google Scholar profile can be viewed here.
Email: phebe.vayanos@usc.edu
Office: Olin Hall of Engineering (OHE) 310L, University Park Campus, USC
Operations Research, Artificial Intelligence, and Responsible AI-Enabled Systems:
Data-driven optimization
Machine learning and causal inference
Responsible machine learning: robustness, fairness, and interpretability
Human-centered systems
Applications:
Public and social services
Healthcare and public health
Conservation and environmental systems
I am always looking for motivated Undergraduate, Master's, and PhD students that are interested in both theory and applications. If you are interested in becoming a student, please apply here. You can also send me an email to let me know why you are interested in joining my research group.