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Steven Hill

I am now a post-doctoral fellow at The Netherlands Cancer Institute in Amsterdam, in the group of Dr. Sach Mukherjee.
 

Previous Study

  • PhD in Statistics & Complexity Science, University of Warwick, 2007-2012.
    Title: Sparse Graphical Models for Cancer Signalling.
    Supervised by Dr. Sach Mukherjee.
  • Master of Science (MSc) in Complexity Science, University of Warwick, 2007-2008.
    Graduated with Distinction.
    Details of my two mini research projects, undertaken as part of the MSc, can be found here.
  • Master of Mathematics (MMath), University of Warwick, 2003-2007.
    Graduated with 1st class honours.

Research Interests

The application of statistical and computational methods to probe interesting questions in molecular cancer biology. This typically involves analysing noisy, high-dimensional, small sample size data.

Key topics of interest are:

  • Bayesian networks, network inference and graph structure search
  • Bayesian variable selection
  • Clustering and subtype discovery
  • Informative prior distributions

Publications

In Preparation

  • Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation
    S. M. Hill a
    nd S. Mukherjee
    (in prep.)


Selected conference contributions

  • Data-driven characterisation of protein signalling networks in cancer
    S. M. Hill, Y. Lu, J. Molina, G. B. Mills and S. Mukherjee
    Netherlands Bioinformatics Conference, 2012 (NBIC2012)
    Lunteren, The Netherlands, 24-25 April 2012
    Poster presentation
  • An exact empirical Bayes approach for incorporating biological knowledge into network inference
    S. M. Hill and S. Mukherjee
    Machine Learning in Systems Biology, 2011 (MLSB2011)
    Vienna, 20th - 21st July 2011
    Talk (proceedings)
  • Inferring dynamic protein signalling networks in individual cancers
    S. M. Hill, Y. Lu, G. B. Mills and S. Mukherjee
    NCI ICBP Junior Investigator Meeting 2010
    Houston, TX, 29th September – 1st October 2010
    Speed-talk

  • Dynamic Bayesian analysis of protein signalling connectivity reveals heterogeneity within single breast cancer subtype
    S. M. Hill, Y. Lu, J. Molina, G. B. Mills and S. Mukherjee
    Proceedings of the European Conference on Complex Systems, 2010 (ECCS'10)
    Lisbon University Institute, 13th - 17th September 2010
    Poster presentation (Track E - main conference)
    Talk at conference satellite: Young Researchers Session @ ECCS'10

  • Dynamic Bayesian analysis of protein signalling connectivity reveals heterogeneity within single breast cancer subtype
    S. M. Hill, Y. Lu, G. B. Mills and S. Mukherjee
    Proceedings of the Leeds Annual Statistical Retreat, 2010 (LASR2010)
    University of Leeds, 6th - 8th July 2010
    Poster presentation
  • Inferring protein signalling networks in cancer using dynamic Bayesian networks
    S. M. Hill, Y. Lu, G. B. Mills and S. Mukherjee
    Proceedings of the European Conference on Complex Systems, 2009 (ECCS09)
    University of Warwick, 21st - 25th September 2009
    Poster presentation
     

Invited Talks

  • Dynamic Bayesian analysis reveals protein signalling connectivity in individual cancers.
    Biomedical and Biological Systems Laboratory, School of Engineering, University of Warwick.
    December 2010

  • Dynamic Bayesian analysis reveals protein signalling connectivity in individual cancers.
    Complexity Forum, Centre for Complexity Science, University of Warwick.
    November 2010

  • Complexity and Statistical Analysis: Network and Combinatorial Inference.
    Healthcare and Complexity Workshop, University of Warwick.
    December 2008

paperMe 

Contact:

Dr Steven Hill
Division of Biochemistry
The Netherlands Cancer Institute
Plesmanlaan 121
1066 CX Amsterdam
The Netherlands

Email:
s dot hill at nki dot nl