Professor Lord Robert May of Oxford OM AC FRS
Department of Zoology, University of Oxford.
Robert May has earned a host of honours. After earning a doctorate in theoretical physics, he developed an interest in animal population dynamics. Over the past 4 decades, he has produced seminal books on the topics of ecological theory, ecosystem stability, population regulation, dynamics of disease, and biological diversity. He has served as the chief scientific adviser to the UK government. He has received five honorary degrees and a number of prestigious awards. He is a fellow of the Royal Society, member of the Australian Academy of Science, and the U.S. National Academy of Sciences.
Instituto Español de Oceanografía, Spain
Carmen is a research scientist at the Español Espanol de Oceanografía in Spain. Her research interests include ecosystem approaches to fisheries, Bayesian stock assessment, Bayesian spatial point process models with application to disease. Several of her recent publications involve fitting of state space models to data. She formerly held appointments at Lancaster Univ. and the Univ. of St. Andrews.
Alaska Fisheries Science Center, National Oceanic and Atmospheric Administration, United States Department of Commerce
Jeff Laake is a statistician/biologist with the California Current Ecosystems Program. His research focus is in developing and applying analytical tools for estimation of abundance and survival with particular emphasis on marine mammals. His primary professional goal has been to develop computer software that is freely available to other scientists to advance science by providing the tools needed to analyze data. He developed the original TRANSECT and DISTANCE programs and is part of the current development team for DISTANCE. He is a co-author of the Introductory and Advanced books on distance sampling. He has also written a package in R to work with program MARK for analysis of capture-recapture data.
Before joining NMML, Jeff was previously a research scientist for the Inter-American Tropical Tuna Commission and a systems analyst for the computer center at San Diego State University. He received a BS and PhD in wildlife biology from Colorado State University and an MS in wildlife science from Utah State University.
Proteus Research & Consulting Ltd.
Darryl MacKenzie is a young biometrician with Proteus Research and Consulting Ltd. in New Zealand. His main area of expertise is in using occupancy models for monitoring and research. He started working in this area while on a year long stint at Patuxent Wildlife Research Center with Drs William L. Kendall and James D. Nichols during 2000/01. He has been involved with applying statistical techniques to a wide range of animals including grizzly bears, sea lions, frogs, salamanders, owls, ducks and giant weta. He has acted as a statistical consultant to the Department of Conservation, Ministry of Fisheries and the U.S. Geological Survey. In 2002 Darryl was awarded a prestigious Fast-Start Marsden Grant from the Royal Society of New Zealand for research into optimal study designs for estimating the proportion of area occupied by a target species.
Professor of Statistics, Department of Economics, University of Oslo
Tore Schweder has been professor of statistics, University of Oslo (Economics department) since 1984, and previously at University of Tromsø. He is senior scientist at the Norwegian Computing Center, Oslo, and since 2003 senior scientist (part time) at CEES, Centre of excellence for ecology and evolutionary synthesis, University of Oslo. Mainly inspired by applications in marine biology, Schweder has pursued studies of statistical methodology. In recent years he has been mostly concerned with simulation based statistical inference, and with developing a frequentist alternative to Bayesian analysis, or a synthesis of the two approaches. This latter line of research is inspired by R.A. Fisher and B. Efron, and provides concepts and methods for prior information, posterior distributions, optimal inference and rational learning. Integrative statistical analysis of diverse data through a global model is another interest inspired by fisheries science.
Institute of Biology, University of Tromsø.
Nigel is Professor of Statistical Ecology at the University of Tromsø in Norway. His areas of research include a) Biometry, focusing on the use of mathematical, statistical and empirical models as tools for understanding the dynamics of populations, communities and ecosystems and b) field studies of Northern and Alpine Ecosystems. Arctic and Boreal ecosystems are often characterised by large, regular fluctuations such as the well-known 3 to 5 years small mammal cycles, and the 10 years moth cycles.
Professor of statistics, University of Otago.
Richard is professor of statistics at the University of Otago, New Zeland. His research areas include: Bayesian inference for hierarchical models, statistical theory; methods and analysis for applications in fisheries and wildlife ecology, sport science and exercise physiology and climate change; theory and analysis of mark-recapture and radio-telemetry data.