Next Visitor
10-May-2010 - Antti Honkela , Helsinki University of Technology
Next Event
None
The research focus of this group is the development of appropriate statistical and computational methodology for diverse applications including:
The group currently consists of eight post doctoral research associates and eight PhD students. We are expanding so keep an eye on this space for announcements about open positions.
The group is funded by the Engineering and Physical Sciences Research Council (EPSRC), Biotechnology and Biological Sciences Research Council (BBSRC), The Medical Research Council (MRC), Microsoft Research and NCR ltd. Current funding levels exceed GBP 1.8M.
Across the University, the group has strong ongoing collaborations with the Division of Plant Sciences, Biochemistry and Molecular Biology, The Beatson Institute for Cancer Research and the Departments of Statistics and Psychology.
One of our most recent projects is an interdisciplinary collaboration funded by Cancer Research UK which investigates key survival pathways in chronic myeloid leukaemia (CML). We love our machine learning and are always on the look out for interesting projects, so please contact us.
News
12-Jan-2010 - Gary Macindoe
Lord Kelvin & Adam Smith Scholarship
The Inference group project "Bayesian modelling of transmission of Streptococcus agalactiae and its antimicrobial resistance determinants in networks of humans and animals" has received a Lord Kelvin & Adam Smith Scholarship. - [more details]
3-Dec-2009 - Tamara Polajnar
Our next visitor (Jan 18th -20th, 2010) will be the distinguished John Skilling (Maximum Entropy Data Consultants Ltd., and formerly of the Cavendish Laboratory, Cambridge).
He will be giving three seminars during his visit entitled: Foundations of Probabilistic Reasoning, Nested Sampling, and Metrics, Curvature, and Priors. Keep an eye on our Events page for further info.
John is Scientific Director of MEDC. He did his Ph.D. (on cosmic rays) in the Department of Physics at Cambridge University, and went on to become a Lecturer in the Department of Applied Mathematics and Theoretical Physics, and a Fellow of St Johns College. In the late 1970s, another radio astronomer, Steve Gull, introduced him to the power of the Maximum Entropy Method. John wrote what was to become the first MemSys kernel system, and helped lay the Bayesian foundations for MEM. In 1981 he and Steve founded MEDC to exploit opportunities to apply MEM in other fields. - [more details]