Fairness Aware Outlier Detection

Today on the show we have Shubhranshu Shekar, a Ph. D Student at Carnegie Mellon University, who joins us to talk about his work, FAIROD: Fairness-aware Outlier Detection.

Guest

Shubhranshu Shekar: I am an Assistant Professor in the School of Business and Economics at the Brandeis University. I work, broadly, in Machine Learning. My research interests are in unsupervised and explainable methods for data-driven decision support in high-stakes domains like healthcare and finance. Nowadays, my focus is on empowering human decision-making by building intelligent systems that are unsupervised, explainable, and equitable. Prior to Brandeis: I obatined my PhD in Machine Learning and Public Policy, and MS in Machine Learning Research from Carnegie Mellon University, where I worked with Prof. Leman Akoglu and Prof. Christos Faloutsos.