Paul Bradley Ph.D., ZirMed’s Chief Data Scientist, oversees the research and development of new processes and technologies, and keeps ZirMed at the forefront of advances in predictive analytics and data mining.
Paul was a co-founder and the chief data scientist of MethodCare before its acquisition by ZirMed. In prior roles, he consulted on data mining algorithm integration with Microsoft Research and SQL Server, and led data analysis solution implementations for a number of Microsoft divisions. Earlier, Paul was the data mining development lead at Revenue Science, Inc. (formerly Digimine, Inc.), where he focused on integrating data mining technology into the company’s service offering. Prior to Digimine, he was a researcher in the Data Management, Exploration, and Mining Group at Microsoft Research, where he helped develop new data mining algorithms and components that shipped with Microsoft’s flagship database products SQL Server and Commerce Server. Paul earned his Ph.D. and M.S. degrees in computer science and a B.S. in mathematics from the University of Wisconsin. His research interests include classification and clustering algorithms, underlying mathematical problem formulations, and issues related to scalability. Paul currently serves on the editorial board of the Journal on Big Data.