CDB Seminars
All welcome

Thursday April 24th, 1pm
Prof Justin Blau, NYU
Title: How flies time: Neurobiology of the Drosophila circadian clock
Host: Prof Ralf Stanewsky
Venue: Anatomy G04 Gavin de Beer LT


Friday April 25th, 1pm
Dr Benedetta Ruzzenente, Max Planck Institute
Title: RNA Metabolism in Mitochondria: Lessons from the Mouse
Host: Prof Michael Duchen
Venue: Medawar G02 Watson LT


Thursday May 1st, 1pm
Dr Setsuko Sahara, MRC - Kings
Title: Control of cortical neuron number
Host: Prof John Parnevelas
Venue: Anatomy G04 Gavin de Beer LT


Thursday May 8th, 1pm
Prof Robert Lightowlers, Newcastle University
Title: Mitochondrial gene expression in humans: a tale of two tales
Host: Dr Gyorgy Szabadkai
Venue: Medical Sciences 131 A V Hill LT

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Dr Chris Barnes

Chris Barnes 2012  

Lecturer in Systems Biology

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


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

Software projects

A python package for simulation of deterministic and stochastic dynamical systems using CUDA on Nvidia Graphics Processing Units.
Approximate Bayesian computation in Python with GPU support.
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 23 oct 13 13:22 by Sonja Van Praag