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Personal Biography of Scott Ferson, Ph.D.
Scott Ferson is a senior scientist at Applied Biomathematics, a research firm on Long Island specializing in methods for ecological and environmental risk analysis. His research focuses on developing reliable mathematical and statistical tools for ecological and human health risk assessments and on methods for uncertainty analysis when empirical information is very sparse. Ferson holds a Ph.D. in ecology and evolution from the State University of New York at Stony Brook. He is an author of Risk Assessment for Conservation Biology (Chapman and Hall) and editor of the collected volumes Quantitative Methods for Conservation Biology (Springer Verlag) and Ecological Modeling in Risk Assessment: Chemical Effects on Populations, Ecosystems, and Landscapes (Lewis Press). He is also author of the new book RAMAS Risk Calc Software 4.0: Risk Assessment with Uncertain Numbers (Lewis Publishers). He has written over 70 other scholarly publications, including several software packages, in environmental risk analysis and uncertainty propagation. His research has addressed quality assurance for Monte Carlo assessments, exact methods for detecting clusters in small data sets, backcalculation methods for use in remediation planning, and distribution-free methods of risk analysis appropriate for use in information-poor situations. He has served on U.S. EPA’s FIFRA Scientific Advisory Panel, the FPQA Science Review Board, and the National Academy of Sciences Committee on the Review of E. coli O157:H7 Risk Assessment. He also serves on the SRA Conferences and Workshops Committee, which he currently chairs, and has organized several workshops around the country on methods and tools for uncertainty propagation.