Contacts
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Antonio Sanfilippo Antonio Sanfilippo is Chief Scientist in the Computational and Statistical Analytics Division of the National Security Directorate at PNNL. His research focus is on computational linguistics, content analysis, knowledge technologies, and predictive analytics with reference to cognitive, social, behavioral, and biomedical sciences. At PNNL, Antonio currently is leading a multi-year initiative on Technosocial Predictive Analytics at PNNL and a five-year grant from the National Institutes of Health on pathway prediction in stroke pathobiology. He also is co-principal investigator for a National Science Foundation project on Visual and Predictive Analytics Approach to Science and Innovation Policy. Antonio holds M.A. and M. Phil. degrees in Anthropological Linguistics from Columbia University, and a Ph.D. in Cognitive Science from the University of Edinburgh (UK). He is the recipient of the 2008 Laboratory Directors Award for Exceptional Scientific Achievement at PNNL. |
Scott Butner Scott Butner is a Senior Research Scientist in the Knowledge Discovery and Informatics Group at PNNL. Scott joined the Lab in 1984 after receiving his B.S. in Chemical Engineering from the University of Washington. For the past 27 years he has been involved in a wide array of renewable energy, pollution prevention and sustainable technology research projects for the Laboratory and its clients. Many of his research projects examine ways of better utilizing information technologies to improve environmental decision making by businesses and policy makers. In recent years, Scott has also supported the Laboratory's Homeland Security mission, working on novel forms of knowledge representation to support efforts to better manage intelligence data. Scott's research interests lie in formal representations of semantic information, especially as it applies to interoperability and transparency of scientific and engineering models and data. |
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Paul Whitney Paul Whitney is a Senior Research Scientist and Associate Division Director for Computational Mathematics at PNNL. His research interests are modeling behavior of individuals and organizations, the analysis of data objects associated with the Internet content, and algorithm development for a variety of automatic text analyses. His recent research focuses on social and behavioral modeling. This research combines data analysis with models for organizations and individual behavior. Paul holds seven patents associated with information analysis, and is the author of over 40 peer reviewed publications. Paul has received the National Aeronautics Space Administration Space Act Award in 2007 for his contributions to aviation safety. |
Amanda White Amanda White is a scientist in the Computational Mathematics group at PNNL. The focus of her work is in statistical and mathematical computing in a variety of scientific disciplines including microarray biology, intelligence analysis, text analysis and finance. Amanda has been at PNNL since 2002 and holds a Bachelor of Science degree from the University of Puget Sound in Mathematics and Computer Science and a Master of Science degree from Stanford University in Management Science and Engineering with a focus on Operations Research. |
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Rick Riensche Rick Riensche is a Senior Research Scientist in the Knowledge Discovery and Informatics Group at PNNL. His work has spanned many scientific disciplines, including visual analytics, bioinformatics, and serious gaming (i.e., using gaming for problem solving). Currently, Rick is leading projects in the development of analytical gaming capabilities and applications, applying his life-long love of games and gaming to today's serious challenges in the areas of the environment, energy and national security. Rick joined PNNL in 2000 after earning a Bachelor of Science in Computer Science at Washington State University, where he currently is a Ph.D. candidate with a focus on graphical rendering of realistically simulated combustion effects. |
Andrew Cowell Andrew Cowell is a Senior Research Scientist in the Knowledge Systems group at PNNL. His research interests include social media analytics, semantic wiki's, the formal representation of knowledge for non-technical users, and the interaction of Web 2.0 technologies into scientific domains. The majority of his work at PNNL has focused on aiding intelligence analysts in interacting with massive data. Since 2006 he has led a group of researchers investigating social computing technologies such as collaborative tagging, reputation systems, and social book-marking and presence as potential methods for improving the intelligence process. Andrew holds a Bachelor of Science in Computer Science (University of Bradford, UK), a Master of Science in Cognitive Science (University of Manchester, UK), and a Ph.D. from the University of Central Florida with a focus on Intelligent Interface Agents. |
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Tom Sanquist |
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