My research interests are in the area of data and information management. One of my goals is to extend the capabilities of modern data management systems in generic ways and to allow them to support novel functionalities that seem hard at first. Examples of such functionalities are managing provenance, trust, explanations, and inconsistent data. I am currently particularly interested in developing scalable approaches to perform inference over uncertain and networked data, for which am very gratefully supported by an NSF Career Award.
To Prospective students and PostDocs
I am actively recruiting strong PostDocs, graduate and senior undergraduate students who share my research interests and have a strong background in algorithms, databases, theory or machine learning. If you are one of them, send me an email that includes: (1) a brief summary of your background and (2) a description of how and why our research interests overlap. Notice that our college and PhD program are both growing.