Research

Our research interests are in machine learning and statistical decision making:

Causality: Metrics; Learning and inference of causal interaction networks, time series modeling

Algorithmic Fairness and Privacy: Data base and graph de-anonymization, graph matching, fairness in learning, timing queuing channels