Prasanna Sattigeri is a Research Staff Member at IBM Research. His research interests include Bayesian inference, deep generative modeling, uncertainty quantification, and related subareas of machine learning and AI. His current work focuses on developing theory and practical systems for machine learning applications that demand constraints such as reliability, fairness, and interpretability. He is a core contributor to several open-source trustworthy AI toolkits - AI Fairness 360, AI Explainability 360, and Uncertainty Quantification 360.
Saturday October 30 4:30 PM – Saturday October 30 6:00 PM in Workshop/Tutorial II