Mark Girolami

Mark Girolami FREng FRSE
Born	(1963-08-29) August 29, 1963 (age 61) [1] Irvine, North Ayrshire [1]
Alma mater	University of Glasgow (BSc) University of Paisley (PhD)
Awards	Turing Talk (2020) Royal Society Wolfson Research Merit Award (2012)
Scientific career
Institutions	IBM University of Glasgow University College London University of Warwick Imperial College London University of Cambridge
Thesis	Self-organising neural networks for signal separation  (1997)
Doctoral advisor	Colin Fyfe [2]
Website	www.eng.cam.ac.uk/profiles/mag92

Mark A. Girolami (born 1963) ^[1] FREng FRSE is a British civil engineer, statistician and data engineer. ^[3] He has held the Sir Kirby Laing Professorship of Civil Engineering in the Department of Engineering at the University of Cambridge since 2019. ^{[4] [5]} He has been the chief scientist of the Alan Turing Institute since 2021. ^[6] He is a Fellow of Christ's College, Cambridge, ^[7] and winner of a Royal Society Wolfson Research Merit Award. ^[8] Girolami is a founding editor of the journal Data-Centric Engineering, ^{[9] [10]} and also served as the program director for data-centric engineering at Turing. ^[11]

Education

Girolami studied^{[ clarification needed ]} at the University of Glasgow and spent ten years working for IBM as an engineer from 1985 to 1994. ^[1] After this he undertook, on a part-time basis, a PhD in statistical signal processing whilst working at the University of Paisley. ^{[2] [12]}

In 2024, the University of the West of Scotland awarded Girolami an honorary doctorate recognising his exceptional achievements in engineering and computing. ^[13]

Career and research

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 ^{[5] [15]} include:

• 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.
• 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. ISSN   0899-7667. PMID   9950738. S2CID   207739442.
• 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. ISSN   1045-9227. 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. doi: 10.1111/j.1467-9868.2010.00765.x . ISSN   1369-7412.
• 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 . ISSN   1350-7265. 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). arXiv: 1512.00933 . doi:10.1214/18-STS660. ISSN   0883-4237. S2CID   13932715.

References

1. Anon (2019). "Girolami, Prof. Mark" . Who's Who (online Oxford University Press  ed.). Oxford: A & C Black. doi:10.1093/ww/9780199540884.013.U292496.(Subscription or UK public library membership required.)
2. Mark Girolami at the Mathematics Genealogy Project
3. "Mark Girolami | International Conference on Data-Integrated Simulation Science". uni-stuttgart.de. University of Stuttgart . Retrieved 2023-04-20.
4. www.eng.cam.ac.uk/profiles/mag92
5. Mark Girolami publications indexed by Google Scholar
6. "Professor Mark Girolami". christs.cam.ac.uk. Christs College Cambridge . Retrieved 2023-04-20.
7. "Lady Margaret Lecture - Lord Kelvin, First Baron of Largs: A Father of the Digital Age?". christs.cam.ac.uk. Christs College Cambridge . Retrieved 2023-04-20.
8. "Royal Society announces first round of prestigious Wolfson Research Merit Awards for 2012". royalsociety.org. Royal Society. 28 May 2012. Retrieved 2023-04-20.
9. Data-Centric Engineering - Professor Mark Girolami. Cambridge University Press. July 4, 2022 – via YouTube. [Vimeo]
10. "Data-Centric Engineering". cambridge.org. Cambridge University Press . Retrieved 2023-04-30.
11. "Data-centric engineering". turing.ac.uk. The Alan Turing Institute.
12. Girolami, Mark (1997). Self-organising neural networks for signal separation (PhD thesis). University of Paisley. OCLC   53633105. EThOS   uk.bl.ethos.388215.
13. "Mastermind host amongst UWS Honorary Doctorates awarded at winter graduations". www.uws.ac.uk. Retrieved 2024-11-19.
14. Professor Mark Girolami: "Probabilistic Numerical Computation: A New Concept?". The Alan Turing Institute [@TheAlanTuringInstituteUK]. Jul 12, 2016 – via YouTube.
15. Mark Girolami at DBLP Bibliography Server