Neil Lawrence is the DeepMind Professor of Machine Learning at the University of Cambridge, a Visiting Professor at the University of Sheffield.
I began work in my current post on 1st October 2019, for the University of Cambridge press release see here.
You might be interested in
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The Atomic Human a book to be published with Penguin’s Allen Lane on 30th May 2024. Available for preorder.
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ML@CL research on ML in the Computer Laboratory.
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The AutoAI project
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The ELLIS Society.
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The Digital Markets Unit at the CMA.
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The Accelerate Science Programme for accelerating scientific progress through machine learning and AI.
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The Data Trusts Initiative for exploring new models of data governance.
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PMLR which publishes leading and emerging machine leaning conferences.
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The AISTATS conference.
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Data Readiness Levels an effort to unify the language around data status for improved management of the data science process.
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Data Science Africa a yearly workshop and summer school on Data Science held in collaboration with Makerere University, UN Global Pulse, Dedan Kemathi University and the Nelson Mandela African Institution of Science and Technology.
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the Open Data Science Initiative an approach to data science designed to address societal needs.
Part of open data science involves education. We are active in education including
- our series of Gaussian Process Summer Schools
For some (older … but still relevant I think) public interest articles you can have a look at my Guardian contributor page, these articles are also normally reposted on my blog which contains other articles which tend to be more targeted at the machine learning and related communities.
At Sheffield I used to lead the ML@SITraN group. The group’s research interests were in probabilistic models with applications in computational biology and personalized health.
See the links above for more information about my research, teaching or software, as well as contact details and a mini bio.