About Quentin Caudron
I am a PhD student at the Centre for Complexity Science, at the University of Warwick. I am affiliated with the Computational Biology and Bioimaging Group within the Department of Computer Science, as well as with Warwick Medical School.
My research is focused on finding efficient methods to analytically solve the cable equation on dendritic trees, and later on spatially-extended neuronal networks, in order to compute voltage propagation on arbitrary neural geometries.
In addition to my scientific research, I enjoy photography and photomanipulation. I try to keep my photo portfolio up to date, though I only upload my favourite photos.
Finally, I love snowboarding and scuba-diving, and have been skydiving and bungee-jumping, though I’m usually far too busy to photograph these events !
Background
I joined the University of Warwick in September 2005, from my home-of-the-moment of Russia, having previously lived in Poland, the UK, the USA and France. I was born in Avignon, in the south of France.
I obtained my BSc in Chemistry at Warwick, graduating with Honours in 2008. During the course of my MSc in Complexity Science, I did projects on emergent polymorphs in the crystallisation of metal-organic frameworks and on statistically quantifying distortion in phenotypes of the Drosophila eye. I graduated with a Distinction in 2009.
Current Research
My PhD research is in the vast field of theoretical neuroscience. Supervised by Dr. Yulia Timofeeva, I aim to investigate the convergence properties of path integral approaches on branching structures. We have built upon the framework of Larry Abbott ( Biophys. J. 1993, 64, 303-313 ), developing improvements to the original implementation as well as novel methods for constructing the series solution. I am now working on an exact Laplace-domain solution, bypassing the difficult convergence properties of the path integral method. This framework has been extended to networks of neurons connected by electrical synapses, allowing us to investigate how the dynamics of networks of spatially-extended neurons coupled by electrical synapses are affected by geometric complexity, intrinsic properties of cells and gap junction modulation.
Research Interests
A broad indication of the fields I am interested in :
- Mathematical Biology
- Signal and Image Processing
- Computer Simulation and Parallel Processing
