Oliver Kennedy is an Associate Professor at the University at Buffalo. Oliver's primary area of research is Databases, although his research interests frequently cross over into Programming Languages and Datastructures. His work focuses on multiple problems, including the use of database techniques to create scalable program analysis tools and compilers, self-service data analytics, and the use of provenance to track and manage uncertainty in data. Through real-world usage metrics gathered from industry collaborations and the use of real-world testbeds, Oliver's work aims to address the practical problems faced by data consumers everywhere. His projects include a notebook replacement called Vizier and a scalable datalog engine for commodity hardware called Draupnir.

Oliver has been at UB since 2012. Prior to that, he graduated from Cornell University, where he developed DBToaster, a tool for compiling specialized database engines. DBToaster was featured in The VLDB Journal's issue on the best papers of VLDB 2012. Oliver continued his work on DBToaster as a Postdoc at The DATA lab at EPFL.

In addition to his research efforts, Oliver can be found coding random personal projects, studying Western Martial Arts disciplines including Capo Ferro, cooking, and/or doing stuff with his awesome wife Chris and son Zachary.