Difference between revisions of "Team:Oxford/Attributions"

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                     <h2>Professor Judy<br>Armitage</h2>
 
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Revision as of 21:21, 17 September 2015

team

Kyle
Bennett

Biochemistry

Helen
Brown

Biochemistry

Ria
Dinsdale

Chemistry

George
Driscoll

Biochemistry

Silas
Elliot

Biology

James
Fage

Biology

June Juyeon
Han

Biochemistry

Henry
Howard-Jenkins

Engineering

Raphaella
Hull

Biochemistry

Leon
Kong

Chemistry

Lychee
Lu

Biochemistry

Duke
Quinton

Biochemistry

Will
Van Duzer

Physics

Mabel
Wong

Biochemistry

Advisors

Dr George
Wadhams

Supervisor

George Wadhams’ research interests lie in how bacteria sense and integrate environmental information. His group focuses on understanding in a quantitative manner how multiple, homologous pathways operate in individual cells and how the components of these pathways can be used to create synthetic pathways.

Dr Chris
Jones

Supervisor

Professor Judy
Armitage

Advisor

Judy Armitage is interested in the dynamics of bacterial sensory transduction and the control of bacterial motility. In particular, her research group focuses on the communication between the sensory and adaption mechanisms of the two pathways as a model for sensory network integration in general..

Professor Anthony
Watts

Advisor

Anthony Watts’ group is devising solid state NMR methods for determining high-resolution details of information-rich sites within membrane receptors. Recent focus has been on the neurotensin receptor (NTS1), which is now available highly purified and monodispersed in detergent as well as in a ligand-binding form.

Professor Antonis
Papachristodoulou

Advisor

Antonis Papachristodoulou’s research interests include systems and synthetic biology, network systems, aerospace systems and flow control, and convex optimisation. Furthermore, he works on modern control theory, robust stability analysis and design, as well as nonlinear dynamical systems and Lyapunov stability.

Andreas
Harris

Advisor

Andreas Harris works on the design and implementation of gene regulatory networks harnessing feedback to increase robustness and tunability. The designs are based around transcriptional networks and attempt to translate well-understood control modules, such as proportional and integral controllers, to biological systems.

Jessica
Martyn

Advisor

Nasir
Ahmad

Advisor

Supporters