ACC (Ton) Coolen
Professor of Applied Mathematics

Institute for Mathematical and Molecular Biomedicine
Hodgkin Building, room HB 4.5N
Guy's Campus, London SE1 1UL

Department of Mathematics
Strand Bldg, room S5.26
Strand campus, London WC2R 2LS

Tel: +44 (0)20 7848 6145
Email: ton.coolen (followed by

Member of the Institute for Mathematical and Molecular Biomedicine (KCL)
Member of the Disordered Systems Group (mathematics, KCL)
Fellow of the London Institute for Mathematical Sciences

Weekly term-time office hours (Strand campus): Fri 13:00-14:00 and 16:00-17:00

Mathematical bio-medicine and survival analysis.
Statistical mechanics of disordered many-particle systems.
Processes on complex networks and random graphs.

Topics and projects
  • Medical statistics: Bayesian analysis of survival data in presence of cohort heterogeneity and competing risks
  • Mathematical immunology: dynamics and statics of large immune system networks in the finite connectivity regime
  • Theory of cellular signaling processes in e.g. proteomic, gene regulatory, and metabolic networks
  • Analysis of sparse random graph ensembles
  • Equilibrium and non-equilibrium theory of processes on complex finitely connected graphs
  • Theory of primary/secondary/tertiary structure generation in hetero-polymers and proteins
  • Calculation of the stationary state probability distribution for non-detailed balance spin systems
  • Dynamics of econophysical models such as minority games, describing cooperative phenomena in markets.
I am involved in the creation of a multidisciplinary research and teaching infrastructure at King's College London, to combine and exploit expertise at the interfaces between biology, medicine, physics, computer science and mathematics. See the websites of the Institute for Mathematical and Molecular Biomedicine and the Systems Biomedicine Graduate Programme. A brief nontechnical introduction to the role of mathematics in cancer research can be found here.

Research and review papers

There is a full list of my publications, and you can find PDFs of recently published papers (from 2000 onwards), either organized by year or by topic. In addition the following recent preprint(s) can be downloaded:
  • J van Baardewijk, H Garmo, M van Hemelrijck, B Grundmark, B Zethelius, L Holmberg and ACC Coolen
    Practical tools for survival analysis with heterogeneity-induced competing risks
    (submitted to Statistics in Medicine, PDF)
  • J Barrett and ACC Coolen
    Gaussian process regression for survival data with competing risks
    (submitted to Statistics in Medicine, PDF)
  • J Barrett and ACC Coolen
    Covariate dimension reduction for survival data via the Gaussian process latent variable model
    (submitted to Statistics in Medicine, PDF)
  • ES Roberts and ACC Coolen
    Random graph ensembles with many short loops
    (ESAIM Proceedings, in press, PDF)
  • A Shalabi, M Inoue, J Watkins, E De Rinaldis and ACC Coolen
    Bayesian clinical classification from high-dimensional data: signatures versus variability
    (submitted to Statistics in Medicine, PDF)


ACC Coolen
The Mathematical theory of minority games - statistical mechanics of interacting agents
(Oxford University Press, January 2005)
(click here for preface and detailed list of contents)

ACC Coolen, R Kuehn and P Sollich
Theory of neural information processing systems
(Oxford University Press, July 2005)
(click here for preface and detailed list of contents)

in preparation:
ACC Coolen and L Holmberg
Principles of survival analysis
(Oxford University Press, 2013/14)

in preparation:
ACC Coolen, A Annibale and K Roberts
Generating random networks and graphs
(Oxford University Press, 2013/14)

Recent research seminars

Doctoral collaborators
  • Akram Shalabi
    Survival analysis and regression from genetic data, with applications to breast cancer
  • Aida Santa Olalla
    Cancer epidemiology
Former doctoral collaborators whose PhD studies I supervised:
Harm Jonker, Stephen Laughton, Charles Mace, Nikos Skantzos, Alexander Heimel, Hirak Chakravorty, Jon Hatchett, Theodore Nikoletopoulos, Bastian Wemmenhove, Nima Shayeghi, Sabrina Rabello, Alexander Mozeika, Panos Papadopoulos, Mark Rowley, Kate Roberts, James Barrett
Postdoctoral collaborators
  • Katherine Lawler
    Analysis of gene expression data and integration with optical biomarker information
  • Mark Rowley
    Bayesian analysis of biomedical data, and their efficient computational implementations.
  • Kate Roberts
    Statistical mechanics of complex networks and graphs, generation algorithms for networks
  • Alexander Mozeika
    Mathematical modelling of the immune system

Lecture notes

The following lecture notes can be downloaded as PDF files:

Other info
  • Member of the IOP (Institute of Physics)
  • Fellow of the Royal Statistical Society
  • Member of the LMS (London Mathematical Society)
  • Member of the EPSRC College
  • Member of the BBSRC Systems Biology Panel

Academic qualifications:
MSc (Theoretical Physics), Utrecht 1987
PhD (Theoretical Physics), Utrecht 1990

Previous academic appointments:
Postdoctoral Fellow, Univ. of Utrecht and Nijmegen, 1990-91
Postdoctoral Fellow, Univ. of Oxford, 1991-95
Reader in mathematics, King's College London, 1995-2000

Non-scientific activities: see my myspace music webpage

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