Neil Lawrence
 | The topic of this article may not meet Wikitia's general notability guideline. |
Neil Lawrence | |
|---|---|
| Born | Neil David Lawrence |
| Nationality | British |
| Citizenship | United Kingdom |
| Education |
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| Alma mater |
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| Scientific career | |
| Fields | Machine learning |
| Institutions |
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| Thesis | Variational Inference in Probabilistic Models (2000) |
| Doctoral advisor | Christopher Bishop |
Neil Lawrence is the DeepMind Professor of Machine Learning at the University of Cambridge in the Department of Computer Science and Technology,[1] Senior AI Fellow at the Alan Turing Institute and visiting Professor at the University of Sheffield.
Education
Lawrence obtained a Bachelors in Engineering degree in Mechanical Engineering at the University of Southampton, and a PhD from the University of Cambridge, with a thesis on Variational Inference in Probabilistic Models, supervised by Christopher Bishop.[2]
Research
Lawrence' main interest focuses on the interaction between Machine Learning and the physical world.
Ambassadorship
Over the years, Lawrence has written several prominent articles discussing issues ranging from the privacy implications of Machine Learning algorithms deployed on citizens,[3][4][5][6][7] the current "state of the art" in the field,[8] the importance of data-sharing[9][10] and academic transparency,[11] to the possibilities for Machine Learning to advance developing nations such as Africa.[12]
He hosts a podcast with Karl Broman called Talking Machines.
More about Lawrence can be found on his personal web site.[13]
In the media
References
- ↑ "Cambridge appoints first DeepMind Professor of Machine Learning". University of Cambridge. 18 September 2019.
- ↑ Lawrence, Neil D. (2000). Variational Inference in Probabilistic Models (PDF) (PhD thesis). University of Cambridge. uk.bl.ethos.621104.
- ↑ Neil Lawrence (5 March 2015). "Beware the rise of the Digital Oligarchy". The Guardian.
{{cite web}}: CS1 maint: uses authors parameter (link) - ↑ Neil Lawrence (2 April 2015). "Let's learn the rules of the digital road before talking about a web Magna Carta". The Guardian.
{{cite web}}: CS1 maint: uses authors parameter (link) - ↑ Neil Lawrence (12 June 2015). "How to prevent creeping artificial intelligence from becoming creepy". The Guardian.
{{cite web}}: CS1 maint: uses authors parameter (link) - ↑ Neil Lawrence (23 July 2015). "The data-driven economy will help marketers exploit us". The Guardian.
{{cite web}}: CS1 maint: uses authors parameter (link) - ↑
Neil Lawrence (16 November 2015). "The information barons threaten our privacy and our autonomy". The Guardian.
{{cite web}}: CS1 maint: uses authors parameter (link) - ↑ Neil Lawrence (28 January 2016). "Google AI versus the GO Grandmaster--who is the real winner?". The Guardian.
{{cite web}}: CS1 maint: uses authors parameter (link) - ↑ Neil Lawrence (5 May 2016). "Google's NHS deal does not bode well for the future of data-sharing". The Guardian.
{{cite web}}: CS1 maint: uses authors parameter (link) - ↑ Neil Lawrence (3 June 2016). "Data trusts could allay our privacy fears". The Guardian.
{{cite web}}: CS1 maint: uses authors parameter (link) - ↑ Neil Lawrence (29 May 2018). "Why thousands of AI researchers are boycotting the new Nature journal". The Guardian.
{{cite web}}: CS1 maint: uses authors parameter (link) - ↑ Neil Lawrence (25 August 2015). "How Africa can benefit from the Data Revolution". The Guardian.
{{cite web}}: CS1 maint: uses authors parameter (link) - ↑ Neil Lawrence. "Inverse Probability".
External links
- Neil Lawrence on Twitter
- Neil Lawrence on Facebook
- Home | inverseprobability.com: Neil Lawrence's Homepage
- Neil D. Lawrence - Google Scholar
- Neil Lawrence on linkedin
- Neil Lawrence | The Alan Turing Institute
- Professor Neil Lawrence | Computer Science | The University of Cambridge
- Cambridge appoints first DeepMind Professor of Machine Learning
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