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14th June 2005
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University of New South
Wales, Sydney, Australia
7 - 8 July
2005
Theme
Biostatistics and Markov chain Monte Carlo are
two of the most vibrant current areas of statistical research.
The analysis of experimental data under alternative biological
hypotheses in highly complex modeling situations is becoming
increasingly commonplace. Models based on
genetic and biological applications have traditionally provided a
challenge for stochastic simulation techniques due to their complex local
dependency structures, and the unique modelling circumstances generated by
the experimental design.
This
symposium will focus on statistical issues in both
Biostatistical and MCMC fields.
Cross-disciplinary research will also be
presented.
The Symposium is scheduled immediately before the
IWSM2005
Conference, also in Sydney on 10-15 July 2005.
The Symposium consists of two days of invited talks.
There will be no contributed talks or posters.
Satellite Workshops
There will be two satellite workshops:
6th July
2005 - Instructor: David Balding
Weight of Evidence for Forensic
DNA Profiles
18-19th July - Instructors: Sylvia
Richardson and Peter Green *** SOLD OUT ***
Bayesian Hierarchical
Models in Biostatistics
Invited Speakers
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David Balding (Imperial College, London)
David is Professor of Statistical Genetics at Imperial
College, and has published extensively in forensic science,
genetics, law and statistics journals. His has also
occasionally served as an expert witness, advising on DNA profile evidence in
forensics and law. |
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Chris Carter (CSIRO)
Chris is Principal Research Scientist of the Health
informatics Group at CSIRO. His research interests include
biostatistics, Bayesian statistics and Markov chain Monte Carlo. |
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Liang Faming (National University of Singapore) *** Cancelled ***
Liang is Assistant Professor in Statistics at the National
University of Singapore. His research interests include
Bioinformatics, Markov chain Monte Carlo, neural networks and
computational physics. |
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Chris Glasbey (BioSS, Edinburgh)
Chris is Head of Research at Biomathematics and Statistics
Scotland. He has extensive publications in the areas of X-ray
tomography, DNA mocroarrays, image analysis, spatio-temporal
models and digital microscopy.
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Peter Green, FRS (Bristol University)
Peter is Professor of Statistics at Bristol University, and
has an international reputation for extensive publications in Bayesian methodology and
applications in statistical genomics. He was recently elected
as a Fellow of the Royal Society. |
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Robert Kohn (University of New South Wales)
Robert is Professor in Economics, and Banking and Finance at
UNSW. He has an international reputation for research in Bayesian
methodology, variable selection, time series modelling and
MCMC algorithms. |
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Kerrie Mengersen (Queensland University of Technology)
Kerrie is Professor of Statistics at QUT. She has an
international reputation for research in Bayesian theory and
methodology, and applications to statistical genetics,
environmental modelling and medical research. She is the
inaugral president of the Australian branch of the
International Society for Bayesian Analysis. |
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Geoff Nicholls (University of Auckland)
Geoff is Senior Lecturer in Mathematics at the University of
Aukland. He has research interests in population genetics,
radiocarbon dating, Bayesian methodology and spatial point processes. |
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David Nott (University of New South Wales)
David is Senior Lecturer in Statstics at UNSW, with a joint
appontment to the School of Biotechnology and Biomolecular
Sciences. He is well known for research in Bayesian
methodology and computation, and has a particular interest in
the analysis of microarray experiments. |
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Sylvia Richardson (Imperial College, London)
Sylvia is Professor of Biostatistics in the Department of
Epidemiology and Public Health at Imperial College, and is
president of the International Society for Bayesian Analysis. She has an
international reputation for the methodological development of
Bayesian modelling and their
application in epidemiology and genomics. |
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Gordon Smyth (Walter & Eliza Hall Institute of
Medical Research)
Gordon is Senior Research Scientist in Bioinformatics at the
Walter & Eliza Hall Institute of Medica Research. He has
conducted extensive research in statistical computing and
biomedical statistics, especially in the design and analysis
of microarray experiments. |
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Simon Tavaré (University of Southern
California)
Simon is Professor of Biological Sciences at USC. He has an
international reputation for research in molecular biology,
cancer genomics, human and population genetics, molecular
evolution and bioinformatics. |
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Ernst Wit (University of Glasgow)
Ernst is currently Reader in Statistics and bioinformatics
co-ordinator at the University of Glasgow. His research
focuses on the statistical design of microarray experiments and
dynamic Bayesian models for gene network modelling. |
Organisers
Yanan
Fan, David
Nott, Scott
Sisson (School of Mathematics, UNSW)
Robert
Kohn (School of Economics, UNSW)
Gordon
Smyth (Walter & Eliza Hall Institute of Medical
Research).
Contact Email: biomcmc(at)maths.unsw.edu.au
The organisers gratefully
acknowledge:
Financial support from AMSI and the School of Mathematics UNSW.
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