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| Mail: | Richard Jacques, Department of Probability and Statistics, University of Sheffield, Hicks Building, Sheffield, S3 7RH. UK. |
| Phone: | (0114)-222-3702 (direct) |
| (0114)-222-3801 (office) | |
| Fax: | (0114)-222-3809 |
| Email: | stp05rmj@sheffield.ac.uk |
I graduated in 2004 with a BSc in Mathematics from the University of Hull. I then moved to the Department of Probability and Statistics at the University of Sheffield to study for an MSc in Statistics, which I completed in September 2005. I am currently still with the department working as a research student supervised by Dr. Nick Fieller .
The working title of my PhD is 'Statistical Analysis of High Content Screening Data'. My research involves working with the Advanced Science and Technology Laboratory at AstraZeneca R&D Charnwood, Loughborough.
The current paradigm for the identification of candidate drugs within the pharmaceutical industry typically involves the use of high throughput screens. A high throughput screen with automated imaging platform allows a large number of compounds to be tested in a biological assay in order to identify any activity inhibiting or activating a biological process. From each of the assays run through a high throughput screen a high content screen image is produced which can be analysed using advanced imaging algorithms to produce a set of variables which reflect the observed activity of the cells within the image.
Statistical approaches have been developed that enable identification of biologically active compounds from high throughput screens using a single parameter. However, approaches for multi-parametric selection are still in their infancy. Furthermore, proper exploitation of the information contained within each high content screen image will enable more refined compound selection.
I am therefore investigating various high dimensional multivariate statistical procedures to analyse the results of high content screening data arising from AstraZeneca's drug development pipelines.
| Department of Probability and Statistics | School of Mathematics and Statistics | ||