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INFOFUSION: Utilization of Multi-Source Data
Twelfth Biennial CDC Symposium on Statistical Methods
April 7-8, 2010


Utilization of Multi-Source Data InfoFusion

Agenda | Program at a Glance | Short Courses | Instructor Biographies | Committees


Short Course Instructor Biographies

Ronald D. Fricker, Jr., Ph.D., Naval Postgraduate School
Short Course: Methodological Issues in Biosurveillance

Dr. Ronald D. Fricker, Jr. is an Associate Professor in the Operations Research Department of the Naval Postgraduate School (NPS). Professor Fricker’s current research is focused on studying the performance of various statistical methods for use in biosurveillance, particularly epidemiologic surveillance, and statistical process control methodologies more generally. His recent research includes developing new spatio-temporal algorithms for biosurveillance, useful for both early event detection and situational awareness, and methods for optimizing the performance of biosurveillance systems. His other recent research includes assessing the effects of individual augmentation deployment on naval personnel retention, researching Federal support to state and local organizations for domestic terrorism preparedness, and investigating the use of pesticides by U.S. forces during the Gulf War.

Prior to joining NPS, Professor Fricker was a Senior Statistician at the RAND Corporation and the Associate Director of the RAND National Security Research Division (NSRD). NSRD, a division responsible for conducting research and analysis on complex national defense policy and strategy problems, includes the National Defense Research Institute, a federally funded research and development center sponsored by the Office of the Secretary of Defense, the Joint Staff, the Unified Commands, and the defense agencies. While at RAND, Dr. Fricker led a nationwide survey of state and local agencies across the United States in support of the congressionally-mandated Advisory Panel to Assess Domestic Response Capabilities for Terrorism Involving Weapons of Mass Destruction. Concurrent with these duties, he was also a Professor of Statistics at the RAND Graduate School and he taught in the Marshall School of Business at the University of Southern California.

Dr. Fricker holds a Ph.D. and an M.S. in statistics from Yale University, an M.S. in Operations Research from The George Washington University and a bachelor's degree from the United States Naval Academy. Upon graduation from the Naval Academy, he served as a surface warfare officer in the United States Navy. He has published in Statistics in Medicine, the Journal of the Royal Statistical Society, Environmental and Ecological Statistics, the Journal of Quality Technology, Naval Research Logistics, Teaching Statistics, and Chance Magazine.  Professor Fricker is a statistical editor for the Journal of Disaster Medicine and Public Health Preparedness and he is an associate editor for Naval Research Logistics and Operations Research. He has served as the Chair of the Section on Statistics in Defense and National Security (SDNS) of the American Statistical Association (ASA). Prior to the creation of SDNS, he was a member of the Committee on Statisticians in Defense and National Security, serving as both the Chair and Vice- Chair. He has also served as Membership Chair for the Quality and Productivity Section and Publicity Chair for the Section on the Physical and Engineering Sciences of ASA.

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Wendy L. Martinez, Ph.D., Department of Defense
Short course: Information Visualization

Wendy Martinez received her Ph.D. from George Mason University in 1995. Her doctorate was in Computational Sciences and Informatics with an emphasis on computational statistics. She has worked for the Department of Defense in various positions for over fifteen years. During this time, she has conducted research in scientific and data visualization, probability density estimation, signal processing, and statistical pattern recognition. She also served for many years as a Program Officer at the Office of Naval Research, where she initiated and directed innovative science and technology projects that ranged from basic research efforts in information integration to fielded decision support systems. She is the co-author of two books on statistical data analysis with MATLAB: Computational Statistics Handbook with MATLAB, 2nd Edition and Exploratory Data Analysis with MATLAB.

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