AFFILIATIONS
University of Liverpool
Institute for Risk and Uncertainty
[formerly] Applied Biomathematics and Stony Brook University
WEBSITE URL
https://sites.google.com/site/scottfersonsite/
TWO SENTENCES
Scott Ferson is director of the Institute for Risk and Uncertainty at the University of Liverpool in the UK. He has around two hundred publications and his research focuses on statistical tools when empirical information is very sparse or imprecise.
FOUR SENTENCES
Scott Ferson is director of the Institute for Risk and Uncertainty at the University of Liverpool in the UK. For many years he was senior scientist at Applied Biomathematics in New York and taught risk analysis at Stony Brook University. Dr. Ferson has around two hundred publications, mostly in risk analysis and uncertainty propagation, and is a fellow of the Society for Risk Analysis. His recent research, funded mostly by UKRI, NIH, and NASA, focuses on reliable statistical tools when empirical information is very sparse, and distribution-free methods for risk analysis.
LONGER
Scott Ferson is Chair of Risk and Uncertainty at the University of Liverpool in the United Kingdom. He is director of the Institute for Risk and Uncertainty there. He had been a senior scientist at Applied Biomathematics and adjunct professor for over two decades at Stony Brook University. He is a Fellow of the Society for Risk Analysis, which gave him its Distinguished Educator Award in 2017. Ferson is author or editor of several books and an author of around 200 other scholarly publications, mostly in methods for analysing risks and uncertainty for environmental and engineering problems. His research, which has been supported by UKRI, NASA, NIH, Sandia National Labs, NSF, and various industrial consortia, focuses on reliable statistical tools when empirical information is very sparse, and distribution-free methods for risk analysis.
LONGER STILL
Scott Ferson is director of the Institute for Risk and Uncertainty at the University of Liverpool in the UK. For many years he was senior scientist at Applied Biomathematics and an adjunct professor at the School of Marine and Atmospheric Sciences at Stony Brook University. He was recently a visiting fellow at the Université de Technologie de Compiègne in France. He holds a Ph.D. in Ecology and Evolution from the State University of New York (SUNY) and an A.B. in biology from Wabash College. His professional interests include statistics when empirical information is very sparse, medical risks and population biology, and risk analysis. Ferson has five published books, ten commercially distributed software packages, and around two hundred scholarly publications, mostly in environmental risk analysis, uncertainty propagation, and conservation biology. He is a fellow of the Society for Risk Analysis and was recently named Distinguished Educator by the Society. Ferson has been the central figure in the development of probability bounds analysis, an approach to reliably computing with imprecisely specified probabilistic models. His research over the last decade, funded primarily by UK Research and Innovation in the United Kingdom, and the National Institutes of Health, NASA, and Sandia National Laboratories in the United States, has focused on developing reliable mathematical and statistical tools for risk assessments and uncertainty analysis when empirical information is very sparse, including methods for quality assurance for Monte Carlo assessments, exact methods for detecting clusters in very small data sets, backcalculation methods for use in remediation planning, and distribution-free methods of risk analysis. He serves on editorial boards for several journals, and he has served on many expert panels in the United States and internationally.