Sudeepa Roy is an Associate Professor in Computer Science at Duke University. She works broadly in data management, with a focus on the foundational aspects of big data analysis, which includes causality and explanations for big data, data repair, query optimization, probabilistic databases, and database theory. Before joining Duke in 2015, she did a postdoc at the University of Washington, and obtained her Ph.D. from the University of Pennsylvania. She is a recipient of the VLDB Early Career Research Contributions Award, an NSF CAREER Award, and a Google Ph.D. fellowship in structured data. She is a co-director of the Almost Matching Exactly (AME) lab for interpretable causal inference at Duke (https://almost-matching-exactly.github.io/).