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CDB Seminars
All welcome

Thursday 30 May at 1pm
Prof Hiroshi Kiyama, Nagoya University
Title: Collapse of homeostasis by prolonged stress - A model for Chronic Fatigue Syndrome and Fibromyalgia
Host: Prof David Whitmore
Venue: JZ Young Lecture Theatre

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Thursday 27 June at 1pm
Prof Richard Zigmond, Case Western Reserve University
Title: A new phenotype for the well-studied slow Wallerian degeneration mouse: A critical role in the conditioning lesion response for inflammation near axotomized neurons
Host: Prof David Whitmore
Venue: Anatomy G04 Gavin de Beer LT

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Dr Chris Barnes

Chris Barnes 2012

Lecturer in Systems Biology

Telephone:
Office: 020 7679 7712
(Int: 37712)

E-mail: christopher.barnes@ucl.ac.uk

I completed my PhD in experimental high energy physics at Imperial College / Fermilab in 2005. I worked for a short time at CERN and then moved to the Wellcome Trust Sanger Institute in 2006 to work in statistical genetics and Copy Number Variation (CNV). There I developed tools to perform robust association studies using CNV (called CNVtools). In 2009 I moved to the Theoretical Systems Biology Group at Imperial to work on inference in systems and synthetic biology models, Approximate Bayesian Computation (ABC) and stochastic modelling. In 2012 I moved to the Department of Cell and Developmental Biology at University College London to start my own research group in the area of computational systems and synthetic biology.

Research interests

The three main themes of my research all utilise mathematical modelling and statistical methods to gain insights into biological processes and their relation to disease.

  • Modelling mutational processes in the genome
  • Reverse engineering of signalling systems
  • Design of synthetic biological systems for therapeutic applications

Teaching

I am developing the materials for a BBSRC funded online mathematical/computational training course known as SysMIC http://sysmic.ac.uk/

Software projects

cuda-sim
A python package for simulation of deterministic and stochastic dynamical systems using CUDA on Nvidia Graphics Processing Units.
abc-sysbio
Approximate Bayesian computation in Python with GPU support.
cnv-tools
Robust case-control and quantitative trait association using Copy Number Variants. Now also available in bioconductor

Recent talks

CRISM : GPUs in computational Statistics, Warwick, UK
Jstar ’11, Rennes, France
ICMSB, Lleida, Spain
Graphical models for reasoning on biological systems, a satellite meeting of ECCS’10, Lisbon, Portugal slides video
Learning and Inference in Computational Systems Biology 2010, Warwick, UK slides+video


Page last modified on 28 feb 13 17:14 by Edward D Whitfield