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Professor Woods' research interests are in the statistical design and analysis of experiments. In 2019, he was elected as a Fellow of the American Statistical Association. From 2012-2017, he held a 5-year to conduct research into design of experiments for the complex nonparametric and mechanistic models required for modern scientific and industrial problems. He is currently a .
Dave has been an investigator on research grants and contracts from a range of funding bodies and have extensive research links with industry and government, including and . He is an Associate Editor for , the and , and a member of the and was previously on the .
Research
Research groups
Research interests
- Design of experiments
- Bayesian statistics
- Statistical computing
- Applications of Statistics in science, technology and industry
Current research
Professor Woods' research interests are in the statistical design and analysis of experiments, particularly the development of new methods and criteria for design selection and assessment under linear and nonlinear models. A particular emphasis of his work is finding efficient designs when there is uncertainty in one or more aspects of the model for the response. He develops methodology that combines theory and computation to solve problems motivated by real experiments in science and industry. Application areas include engineering, chemistry and the pharmaceutical, automotive and aeronautics industries.
Research projects
Completed projects
Publications
Teaching
Professor Woods has taught a variety of Statistics modules, both within and outside the ¾ÅÉ«ÊÓƵ. He is also a member of the Executive Committee of the , and he teaches a module on Design of Experiments and Studies for the Academy. Previously, Dave taught the Academy's module on Statistical Modelling.
Biography
Previous position
Lecturer in Statistics, 2004 - 2011
Reader in Statistics, 2011 - 2013
Qualifications
PhD in Statistics, ¾ÅÉ«ÊÓƵ