Neil Lawrence

From Wikitia
Jump to navigation Jump to search
Neil Lawrence
Neil David Lawrence
CitizenshipUnited Kingdom
  • BE in Mechanical Engineering
  • PhD
Alma mater
  • University of Southampton
  • University of Cambridge
Scientific career
FieldsMachine learning
  • University of Manchester
  • University of Sheffield
  • University of Cambridge
  • Microsoft Research
  • Amazon Research
ThesisVariational Inference in Probabilistic Models (2000)
Doctoral advisorChristopher 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.


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]


Lawrence' main interest focuses on the interaction between Machine Learning and the physical world.


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



  1. "Cambridge appoints first DeepMind Professor of Machine Learning". University of Cambridge. 18 September 2019.
  2. Lawrence, Neil D. (2000). Variational Inference in Probabilistic Models (PDF) (PhD thesis). University of Cambridge.
  3. Neil Lawrence (5 March 2015). "Beware the rise of the Digital Oligarchy". The Guardian.CS1 maint: uses authors parameter (link)
  4. Neil Lawrence (2 April 2015). "Let's learn the rules of the digital road before talking about a web Magna Carta". The Guardian.CS1 maint: uses authors parameter (link)
  5. Neil Lawrence (12 June 2015). "How to prevent creeping artificial intelligence from becoming creepy". The Guardian.CS1 maint: uses authors parameter (link)
  6. Neil Lawrence (23 July 2015). "The data-driven economy will help marketers exploit us". The Guardian.CS1 maint: uses authors parameter (link)
  7. Neil Lawrence (16 November 2015). "The information barons threaten our privacy and our autonomy". The Guardian.CS1 maint: uses authors parameter (link)
  8. Neil Lawrence (28 January 2016). "Google AI versus the GO Grandmaster--who is the real winner?". The Guardian.CS1 maint: uses authors parameter (link)
  9. Neil Lawrence (5 May 2016). "Google's NHS deal does not bode well for the future of data-sharing". The Guardian.CS1 maint: uses authors parameter (link)
  10. Neil Lawrence (3 June 2016). "Data trusts could allay our privacy fears". The Guardian.CS1 maint: uses authors parameter (link)
  11. Neil Lawrence (29 May 2018). "Why thousands of AI researchers are boycotting the new Nature journal". The Guardian.CS1 maint: uses authors parameter (link)
  12. Neil Lawrence (25 August 2015). "How Africa can benefit from the Data Revolution". The Guardian.CS1 maint: uses authors parameter (link)
  13. Neil Lawrence. "Inverse Probability".

External links

This article "Neil Lawrence" is from Wikipedia. The list of its authors can be seen in its historical. Articles taken from Draft Namespace on Wikipedia could be accessed on Wikipedia's Draft Namespace.