Mark A. Girolami (born 1963)[2] 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][6] He has been the chief scientist of the Alan Turing Institute since 2021.[7] He is a Fellow of Christ's College, Cambridge,[8] and winner of a Royal Society Wolfson Research Merit Award.[9] Girolami is a founding editor of the journal Data-Centric Engineering,[10][11] and also served as the program director for data-centric engineering at Turing.[12]
Mark Girolami | |
|---|---|
| Born | August 29, 1963[2] |
| 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[1] |
| Website | www |
Education
editGirolami studied[clarification needed] at the University of Glasgow and spent ten years working for IBM as an engineer from 1985 to 1994.[2] After this he undertook, on a part-time basis, a PhD in statistical signal processing whilst working at the University of Paisley.[1][13]
In 2024, the University of the West of Scotland awarded Girolami an honorary doctorate recognising his exceptional achievements in engineering and computing.[14]
Career and research
editAfter his PhD, Girolami held senior positions at the University of Glasgow, and University College London.[15]
Before joining the University of Cambridge, Girolami worked at Imperial College London.[4]
Selected publications
editHis publications[6][16] 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.
{{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. 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
edit- ^ a b Mark Girolami at the Mathematics Genealogy Project
- ^ a b c d 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.)
- ^ "Mark Girolami | International Conference on Data-Integrated Simulation Science". uni-stuttgart.de. University of Stuttgart. Retrieved 2023-04-20.
- ^ a b www
.eng .cam .ac .uk /profiles /mag92 - ^ "Bio: Mark Girolami". prof-girolami.uk.
- ^ a b Mark Girolami publications indexed by Google Scholar
- ^ "Professor Mark Girolami". christs.cam.ac.uk. Christs College Cambridge. Retrieved 2023-04-20.
- ^ "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.
- ^ "Royal Society announces first round of prestigious Wolfson Research Merit Awards for 2012". royalsociety.org. Royal Society. 28 May 2012. Retrieved 2023-04-20.
- ^ Data-Centric Engineering - Professor Mark Girolami. Cambridge University Press. July 4, 2022 – via YouTube. [Vimeo]
- ^ "Data-Centric Engineering". cambridge.org. Cambridge University Press. Retrieved 2023-04-30.
- ^ "Data-centric engineering". turing.ac.uk. The Alan Turing Institute.
- ^ Girolami, Mark (1997). Self-organising neural networks for signal separation (PhD thesis). University of Paisley. OCLC 53633105. EThOS uk.bl.ethos.388215.
- ^ "Mastermind host amongst UWS Honorary Doctorates awarded at winter graduations". www.uws.ac.uk. Retrieved 2024-11-19.
- ^ Professor Mark Girolami: "Probabilistic Numerical Computation: A New Concept?". The Alan Turing Institute [@TheAlanTuringInstituteUK]. Jul 12, 2016 – via YouTube.
- ^ Mark Girolami at DBLP Bibliography Server
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