Wednesday 26 June, 12.30-4.40pm
Gavin de Beer Lecture Theatre, Ground Floor, Anatomy Building
Hosts: Steve Hunt and Michael Duchen
12.30pm Ricardo Laranjeiro: "A novel cyclin-dependent kinase inhibitor (p20) controls circadian cell cycle timing"
1.00pm Mark Hajjawi: “Nucleotides as regulators of skeletal function”
1.30pm Keri Tochiki: “Are histone modifications setting up inflammatory pain states?”
2.00pm Gordon Walsh: "Model construction and
parameter determination in eukaryotic phosphoinositide metabolism"
2.40pm Mason Yeh:
3.10pm Beverley Bright:
3.40pm Eleanna Stamatakou:
4.10pm Hui Min Tan:
Thursday 27 June at 1pm
Following the Summer Break the Series returns in September.
Dr Chris Barnes
Lecturer in Systems Biology
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.
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/
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
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
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Page last modified on 28 feb 13 17:14 by Edward D Whitfield