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Mark Girolami

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Mark Girolami
FREngFRSE
Born(1963-08-29)August 29, 1963(age 60)[2]
Irvine, North Ayrshire[2]
Alma materUniversity of Glasgow(BSc)
University of Paisley(PhD)
AwardsTuring Talk(2020)
Royal Society Wolfson Research Merit Award(2012)
Scientific career
InstitutionsIBM
University of Glasgow
University College London
University of Warwick
Imperial College London
University of Cambridge
ThesisSelf-organising neural networks for signal separation(1997)
Doctoral advisorColin Fyfe[1]
Websitewww.eng.cam.ac.uk/profiles/mag92Edit this at Wikidata

Mark A. Girolami(born 1963)[2]FREngFRSEis a Britishcivil engineer,statisticiananddata engineer.[3]He has held the Sir Kirby Laing Professorship of Civil Engineering in theDepartment of Engineeringat theUniversity of Cambridgesince 2019.[4][5][6]He has been the chief scientist of theAlan Turing Institutesince 2021.[7]He is aFellowofChrist's College, Cambridge,[8]and winner of aRoyal Society Wolfson Research Merit Award.[9]Girolami is a founding editor of the journalData-Centric Engineering,[10][11]and also served as the program director for data-centric engineering at Turing.[12]

Education

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Girolami studied[clarification needed]at theUniversity of Glasgowand spent ten years working forIBMas an engineer from 1985 to 1994.[2]After this he undertook, on a part-time basis, a PhD instatistical signal processingwhilst working at theUniversity of Paisley.[1][13]

Career and research

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

Before joining the University of Cambridge, Girolami worked atImperial College London.[4]

Selected publications

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His publications[6][15]include:

  • Girolami, Mark (1999).Self-organising neural networks: independent component analysis and blind source separation.London: Springer.ISBN1-85233-066-X.OCLC41165446.
  • Girolami, Mark, ed. (2000).Advances in independent component analysis.London: Springer.ISBN1-85233-263-8.OCLC43580473.
  • Lawrence, Neil; Girolami, Mark; Rattray, Magnus; Sanguinetti, Guido, eds. (2009).Learning and inference in computational systems biology.Cambridge, Mass.: MIT Press.ISBN978-0-262-01386-4.OCLC416139763.
  • Stumpf, M. P. H.; Balding, D. J.; Girolami, Mark, eds. (2011).Handbook of statistical systems biology.Chichester, West Sussex: John Wiley & Sons.ISBN978-1-119-97061-3.OCLC759159249.
  • Rogers, Simon; Girolami, Mark (2020).A first course in machine learning(2nd ed.). Boca Raton.ISBN978-0-367-57464-2.OCLC1180151741.{{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.doi:10.1162/089976699300016719.ISSN0899-7667.PMID9950738.S2CID207739442.
  • Girolami, M. (2002). "Mercer kernel-based clustering in feature space".IEEE Transactions on Neural Networks.13(3): 780–784.doi:10.1109/TNN.2002.1000150.ISSN1045-9227.PMID18244475.
  • 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.doi:10.1111/j.1467-9868.2010.00765.x.ISSN1369-7412.
  • Betancourt, Michael; Byrne, Simon; Livingstone, Sam; Girolami, Mark (2017-11-01)."The geometric foundations of Hamiltonian Monte Carlo".Bernoulli.23(4A).arXiv:1410.5110.doi:10.3150/16-BEJ810.ISSN1350-7265.S2CID88521216.
  • 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).arXiv:1512.00933.doi:10.1214/18-STS660.ISSN0883-4237.S2CID13932715.

References

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  1. ^abMark Girolamiat theMathematics Genealogy ProjectEdit this at Wikidata
  2. ^abcdAnon (2019)."Girolami, Prof. Mark".Who's Who(onlineOxford University Pressed.). Oxford: A & C Black.doi:10.1093/ww/9780199540884.013.U292496.(Subscription orUK public library membershiprequired.)
  3. ^"Mark Girolami | International Conference on Data-Integrated Simulation Science".uni-stuttgart.de.University of Stuttgart.Retrieved2023-04-20.
  4. ^abwww.eng.cam.ac.uk/profiles/mag92Edit this at Wikidata
  5. ^"Bio: Mark Girolami".prof-girolami.uk.
  6. ^abMark Girolamipublications indexed byGoogle ScholarEdit this at Wikidata
  7. ^"Professor Mark Girolami".christs.cam.ac.uk.Christs College Cambridge.Retrieved2023-04-20.
  8. ^"Lady Margaret Lecture - Lord Kelvin, First Baron of Largs: A Father of the Digital Age?".christs.cam.ac.uk.Christs College Cambridge.Retrieved2023-04-20.
  9. ^"Royal Society announces first round of prestigious Wolfson Research Merit Awards for 2012".royalsociety.org.Royal Society.28 May 2012.Retrieved2023-04-20.
  10. ^Data-Centric Engineering - Professor Mark Girolami.Cambridge University Press.July 4, 2022 – via YouTube.[Vimeo]
  11. ^"Data-Centric Engineering".cambridge.org.Cambridge University Press.Retrieved2023-04-30.
  12. ^"Data-centric engineering".turing.ac.uk.The Alan Turing Institute.
  13. ^Girolami, Mark (1997).Self-organising neural networks for signal separation(PhD thesis). University of Paisley.OCLC53633105.EThOSuk.bl.ethos.388215.
  14. ^Professor Mark Girolami: "Probabilistic Numerical Computation: A New Concept?".The Alan Turing Institute [@TheAlanTuringInstituteUK]. Jul 12, 2016 – via YouTube.
  15. ^Mark GirolamiatDBLPBibliography ServerEdit this at Wikidata


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