Mark Girolami

Mark A. Girolami (born 1963) is a British civil engineer, statistician and data engineer.[1] He holds the Sir Kirby Laing Professorship of Civil Engineering at the Department of Engineering, University of Cambridge, since 2019.[2] He has been the chief scientist of the Alan Turing Institute since 2021.[3] He is a Fellow of Christ's College, Cambridge,[4] and winner of a Royal Society Wolfson Research Merit Award.[5] Girolami is a founding editor of the journal Data-Centric Engineering,[6][7] and also served as the program director for data-centric engineering at Turing.[8]

Christ's Fellow, Professor

Mark Girolami

FREng FRSE
Born1963 (age 59–60)
Academic background
EducationUniversity of Glasgow (BS)
University of Paisley (PhD)
Doctoral advisorColin Fyfe
Academic work
InstitutionsIBM
University of Glasgow
University College London
University of Warwick
Imperial College London
University of Cambridge
Websiteprof-girolami.uk

Education and career

Girolami studied at the University of Glasgow and spent ten years working for IBM as an Engineer. After this he undertook, on a part time basis, a PhD in statistical signal processing whilst working at the University of Paisley (now University of the West of Scotland). He then held senior positions at the University of Glasgow, and University College London.[9]

Before joining the University of Cambridge, Girolami worked at the Imperial College London.[2]

Selected publications

Books
  • Girolami, Mark (1999). Self-organising neural networks : independent component analysis and blind source separation. London: Springer. ISBN 1-85233-066-X. OCLC 41165446.
  • Girolami, Mark, ed. (2000). Advances in independent component analysis. London: Springer. ISBN 1-85233-263-8. OCLC 43580473.
  • Lawrence, Neil; Girolami, Mark; Rattray, Magnus; Sanguinetti, Guido, eds. (2009). Learning and inference in computational systems biology. Cambridge, Mass.: MIT Press. ISBN 978-0-262-01386-4. OCLC 416139763.
  • Stumpf, M. P. H.; Balding, D. J.; Girolami, Mark, eds. (2011). Handbook of statistical systems biology. Chichester, West Sussex: John Wiley & Sons. ISBN 978-1-119-97061-3. OCLC 759159249.
  • Rogers, Simon; Girolami, Mark (2020). A first course in machine learning (2nd ed.). Boca Raton. ISBN 978-0-367-57464-2. OCLC 1180151741.

Selected papers

References
  1. "Mark Girolami | International Conference on Data-Integrated Simulation Science". University of Stuttgart. Retrieved 2023-04-20.
  2. "mag92: Professor Mark Girolami". Department of Engineering. University of Cambridge. Retrieved 2023-04-20.
  3. "Professor Mark Girolami". Christs College Cambridge. Retrieved 2023-04-20.
  4. "Lady Margaret Lecture - Lord Kelvin, First Baron of Largs: A Father of the Digital Age?". Christs College Cambridge. Retrieved 2023-04-20.
  5. "Royal Society announces first round of prestigious Wolfson Research Merit Awards for 2012". Royal Society. 28 May 2012. Retrieved 2023-04-20.
  6. Data-Centric Engineering - Professor Mark Girolami. Cambridge University Press. July 4, 2022 – via YouTube. [[https://vimeo.com/726630076 Vimeo]]
  7. "Data-Centric Engineering". Cambridge Core. Retrieved 2023-04-30.
  8. "Data-centric engineering". The Alan Turing Institute.
  9. Professor Mark Girolami: "Probabilistic Numerical Computation: A New Concept?". The Alan Turing Institute [@TheAlanTuringInstituteUK]. Jul 12, 2016 – via YouTube.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.