Neil Lawrence is the inaugural DeepMind Professor of Machine Learning at the University of Cambridge. He has been working on machine learning models for over 20 years. He recently returned to academia after three years as Director of Machine Learning at Amazon. His main interest is the interaction of machine learning with the physical world. This interest was triggered by deploying machine learning in the African context, where ‘end-to-end’ solutions are normally required. This has inspired new research directions at the interface of machine learning and systems research, this work is funded by a Senior AI Fellowship from the Alan Turing Institute. Neil is also visiting Professor at the University of Sheffield and the co-host of Talking Machines.

Related Publications

Differentially Private Regression and Classification with Sparse Gaussian Processes

Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence

Journal of Machine Learning Research, 22(188):1-41

Bottom-up Data Trusts: Disturbing the 'One Size Fits All' Approach to Data Governance

Sylvie DelacroixNeil D. Lawrence

International Data Privacy Law, Oxford Academic 9(4):236-252

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume ObozinskiNeil D. LawrenceAndreas Damianou

International Conference on Learning Representations, :

Challenges in Machine Learning Deployment: A Survey of Case Studies

Andrei Paleyes, Raoul-Gabriel Urma, Neil D. Lawrence

ACM Comput. Surv., Association for Computing Machinery:

Decision-making with Uncertainty

Peter J. Diggle, Tim Gowers, Frank Kelly, Neil D. Lawrence

Significance, 17(6):12-12

Gaussian Process Latent Variable Flows for Massively Missing Data

Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence

Third Symposium on Advances in Approximate Bayesian Inference, :

Creating a European AI Powerhouse: A Strategic Research Agenda from the European Learning and Intelligent Systems Excellence (ELISE) consortium

ELISE Network


Solving Schrödinger Bridges via Maximum Likelihood

Francisco Vargas, Pierre Thodoroff, Austen Lamacraft, Neil D. Lawrence

Entropy, 23(9):1134

Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis

Andreas Damianou, Neil D. Lawrence, Carl Henrik Ek

Journal of Machine Learning Research, 22(8):1-51

The UK Large Language Models Opportunity

The AI Council


The UK foundation Models Opportunity

The AI Council


Letter Warning about Simplistic Narratives around AI

Neil D. Lawrence