Clive Bowsher

School of Mathematics, University of Bristol
BA (Cantab); M Phil, D Phil (Oxon)
Chartered Statistician (Royal Statistical Society)

Field: Statistics of Dynamic Systems
Statistical modelling, inference and prediction in continuous and discrete time; marked point processes; graphical modelling and causal inference in dynamic settings; dynamic bayesian network and state space methods; functional time series; information theoretic approaches; applied probability in biology.

Current Research: Biomathematics and Systems Biology
Dynamics of biomolecular networks; sensing and information transfer by biochemical and signal transduction networks; dynamic systems biology; stochastic kinetic model (SKM) and chemical master equation (CME) descriptions of reaction networks; modular architecture and information flow in biochemical reaction networks; dynamic conditional independence, modularity and graphs for SKMs; CMEs with fluctuating inputs and rate parameters; decomposing variation in biological systems. Scientists working in systems biology can read more here.

Publications

MIDIA R Software Package

NEW: Identifying Sources of Variation and the Flow of Information in Biochemical Networks published in PNAS Early Edition (April 2012). Research featured by University of Bristol.
The Magnitude and Colour of Noise in Genetic Negative Feedback Systems published by Nucleic Acids Research (May 2012).
Automated analysis of information processing, kinetic independence and modular architecture in biochemical networks using MIDIA published in Bioinformatics, 2011: 27(4)

Biographical Sketch

Teaching (BCCS)