ISyE Seminar “Interpretability, Robustness, and Fairness in Predictive and Prescriptive Analytics for Social Impact”

Please join us for our next seminar via Zoom! This seminar will feature Phebe Vayanos from the University of Southern California who will discuss interpretability, robustness, and fairness in predictive and prescriptive analytics for social impact.

Note: All seminars this semester will be research-focused. 

3:30 p.m. - Graduate seminar
4:30 p.m. - Reception

Zoom link
Password: ISyE2022

About the seminar

Motivated by problems in homeless services delivery, suicide prevention, and substance use prevention, Professor Vayanos and her colleagues consider the problem of learning optimal interpretable, robust, and fair models in the form of decision-trees to assist with decision-making in socially sensitive, high-stakes settings. The researchers propose new models and algorithms, showcase their flexibility and theoretical and practical benefits, and demonstrate substantial improvements over the state of the art.

About the speaker

Phebe Vayanos is a WiSE Gabilan Assistant Professor of Industrial & Systems Engineering and Computer Science at the University of Southern California. She is also an associate director of the Center for Artificial Intelligence in Society (CAIS) at USC. Her research is focused on Operations Research and Artificial Intelligence and in particular on optimization and machine learning.