Mark Girolami

After his PhD, Girolami held senior positions at the University of Glasgow, and University College London.^[14]

Before joining the University of Cambridge, Girolami worked at Imperial College London.^[4]

Selected publications

His publications^[6][15] include:

• Girolami, Mark (1999). Self-organising neural networks : independent component analysis and blind source separation. London: Springer.
  OCLC 41165446
  .
• Girolami, Mark, ed. (2000). Advances in independent component analysis. London: Springer.
  OCLC 43580473
  .
• Lawrence, Neil; Girolami, Mark; Rattray, Magnus; Sanguinetti, Guido, eds. (2009). Learning and inference in computational systems biology. Cambridge, Mass.: MIT Press.
  OCLC 416139763
  .
• Stumpf, M. P. H.; Balding, D. J.; Girolami, Mark, eds. (2011). Handbook of statistical systems biology. Chichester, West Sussex: John Wiley & Sons.
  OCLC 759159249
  .
• Rogers, Simon; Girolami, Mark (2020). A first course in machine learning (2nd ed.). Boca Raton.
  OCLC 1180151741.{{cite book}}: CS1 maint: location missing publisher (link
  )
• Lee, Te-Won; Girolami, Mark; Sejnowski, Terrence J. (1999-02-01). "Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources". Neural Computation. 11 (2): 417–441.
  S2CID 207739442
  .
• Girolami, M. (2002). "Mercer kernel-based clustering in feature space". IEEE Transactions on Neural Networks. 13 (3): 780–784.
  PMID 18244475
  .
• Girolami, Mark; Calderhead, Ben (2011-03-01). "Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods". Journal of the Royal Statistical Society Series B: Statistical Methodology. 73 (2): 123–214.
  ISSN 1369-7412
  .
• Betancourt, Michael; Byrne, Simon; Livingstone, Sam; Girolami, Mark (2017-11-01). "The geometric foundations of Hamiltonian Monte Carlo". Bernoulli. 23 (4A).
  S2CID 88521216
  .
• Briol, François-Xavier; Oates, Chris J.; Girolami, Mark; Osborne, Michael A.; Sejdinovic, Dino (2019-02-01). "Probabilistic Integration: A Role in Statistical Computation?". Statistical Science. 34 (1).
  S2CID 13932715
  .

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