I am the technical lead of Bell Labs' Semantic Data Access program. This effort is exploring the use of semantic technologies to simplify accessing and processing distributed heterogeneous data sources. We are investigating the problems of ontological modelling, data lifting, automated reasoning and service description and discovery. Key technologies that we are leveraging include REST, XML, RDF/S, OWL, SPARQL, SWRL/RIF, XSPARQL and automated reasoning tools. My personal research interests currently evolve around semantic web technologies, particularly as they can be used to support network analysis and data analytics. I received my M.S. and Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign and a B.A. in Physics from Lawrence University, Appleton, Wisconsin. My dissertation focused on the machine learning problem of constructive induction. Prior to joining Bell Labs in 2010, I was the Chief Technology Officer at VIStology, a Boston R&D firm specializing in the application of semantic technologies to problems in the area of information fusion and situation awareness. I also worked for two other Boston area startups around the turn of the century, Redwood and Verylitics. Before that I spent ten years at GTE Laboratories (now Verizon Technologies) specializing in knowledge discovery, artificial intelligence, interactive Internet technologies and R&D management. As a graduate student I was both a University Fellow and a Cognitive Science/AI Fellow and during the summers I did artificial intelligence research at Oak Ridge National Laboratories in Tennessee. In 1983, I conducted an independent study on robotics in Japan and Great Britain as a Thomas J. Watson Fellow.