CTW: Recent Advances in Statistical Inference for Mathematical Biology
(February 20-24, 2012)
The era of quantitative biology, and abundant data, calls for
theoreticians and and experimentalists to address a fundamental
scientific question: how can we learn as much as possible about the
biological system we are studying - and make justified inferential
statements about it - on the basis of combining theoretical models and
experimental data? Related questions include: how to
identify model parameters or test hypotheses given experimental data;
how to evaluate model adequacy and inform model refinement; how to
choose amongst a set of candidate models; and how to determine optimal
experimental design to maximise information in the data.
Exciting progress is being made on these challenging issues. This
workshop will bring together foremost researchers from the fields of
biology, applied mathematics, statistics, and computer science to
discuss recent advances in statistical inference for mathematical biology.
Accepted Speakers
- Douglas Bates (Department of Statistics, University of Wisconsin-Madison)
- Nigel Burroughs (Systems Biology, University of Warwick)
- Richard Boys (Mathematics & Statistics, Newcastle University)
- Nicolas Brunel (Statistique et Genome lab, Federation de Mathematique d'Evry, Universite d'Evry & ENSIIE)
- Ben Calderhead (Statistical Science, University College London)
- David Campbell (Statistics and Actuarial Science, Simon Fraser University)
- Carson Chow (National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health)
- Vanja Dukic (Applied Mathematics, University of Colorado-Boulder)
- Barbel Finkenstadt (Statistics, University of Warwick)
- Colin Gillespie (Mathematics & Statistics, Newcastle University)
- Andrew Golightly (Mathematics and Statistics, Newcastle University)
- John Guckenheimer (Mathematics, Cornell University)
- Ed Ionides (Statistics, University of Michigan)
- Clemens Kreutz, Freiburger Center for Biological Systems Analysis (ZBSA), Physics Department
- Subhash Lele (Mathematical and Statistical Sciences, University of Alberta)
- Christina Leslie (Computational Biology Center, Memorial Sloan Kettering Cancer Center)
- Sofia Olhede (Statistical Science, University College London)
- Dennis Prangle (Mathematics & Statistics, Lancaster University)
- Dov Stekel (Biosciences, University of Nottingham)
- Joe Tien (Mathematics, The Ohio State University)
- Tina Toni (Biological Engineering, Massachusetts Institute of Technology)
- Mark Transtrum (Physics, Cornell University)
- Simon Wood (Mathematical Sciences, University of Bath)
- Hulin Wu (Biostatistics and Computational Biology, University of Rochester)