Deane, Professor Charlotte

Website/social media accounts: 
http://www.stats.ox.ac.uk/~deane/
http://opig.stats.ox.ac.uk/

Academic background 

Charlotte originally trained as a chemist, before starting a PhD in Bioinformatics at Cambridge. This was followed by two years at UCLA as a Wellcome Trust Research Fellow. In 2002 she became a lecturer at Oxford in the Department of Statistics. Charlotte became a fellow of St Anne’s College in 2015.

Teaching

At Oxford, Charlotte leads the Oxford Protein Informatics Group, who work on diverse problems across protein structure, interaction networks and small molecule drug discovery; combining theoretical and empirical analysis with special interest in AI. She collaborates with experimentalists in academia and industry in experiment design to leverage the power of computation for biological insight.

Her work focusses on the development of novel algorithms, tools and databases that are openly available to the community. Examples include SAbDab, SAbPred, PanDDA and MEMOIR. These tools are widely used web resources and are also part of several Pharma drug discovery pipelines. Charlotte has consulted extensively with industry and has set up a consulting arm within her own research group as a way of promoting industrial interaction and use of the group’s software tools.

Research interests

Charlotte’s research covers several areas in protein structure prediction and protein interaction networks, combining both theoretical work and empirical analyses. With OPIG, work is focussed in the four main areas listed below:

• Protein structure
• Immunoinformatics
• Biological Networks
• Small molecules

Recent Publications

http://www.stats.ox.ac.uk/~deane/#publications