Machine learning and artificial intelligence

Machine learning describes a collection of statistical and computational techniques for identifying patterns within data. More generally, other artificial intelligence techniques such as evolutionary algorithms, neural networks, and deep learning play an important role in identifying large scale networks or bioinformatics problems with small data.

Our expertise

  • Advanced machine learning
  • Attractor reconstruction methods for physiological data combined with machine learning
  • Bayesian machine learning
  • Ensemble learning and drop-out learning
  • Evolutionary multi-objective machine learning
  • Evolutionary optimisation
  • Neural networks and deep learning
  • Secure machine learning
  • The identification of classifiers/predictors of clinical outcomes.

Meet the team

Members

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Professor Philip Aston

Professor of Mathematics

Alexessander Couto Alves profile image

Dr Alexessander Da Silva Couto Alves

Lecturer in Bioinformatics and Statistical Genomics

Yaochu Jin profile image

Professor Yaochu Jin

Distinguished Chair, Professor in Computational Intelligence

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Dr Marika Kaakinen

Lecturer in Statistical Multi-omics

Samaneh Kouchaki profile image

Dr Samaneh Kouchaki

Lecturer in Machine Learning for Healthcare

Paul Krause profile image

Professor Paul Krause

Emeritus Professor

Emma Laing profile image

Dr Emma Laing

Visiting Professor

Agnieszka Lemanska profile image

Dr Agnieszka Lemanska

Senior Lecturer in Health Data Science

Sotiris Moschoyiannis profile image

Dr Sotiris Moschoyiannis

Reader in Complex Systems

Joaquin M. Prada profile image

Dr Joaquin Prada

Lecturer in Veterinary Epidemiology

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Professor Inga Prokopenko

Professor e-One Health and Head of Statistical Multi-Omics

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Professor H Lilian Tang

Professor in Artificial Intelligence

Kevin Wells profile image

Dr Kevin Wells

Reader in Medical Imaging

Associate members

Jo Armes profile image

Professor Jo Armes

Professor of Cancer Care and Lead for Digital Health

Matteo Barberis profile image

Dr Matteo Barberis

Reader in Systems Biology, FHMS Coordinator of Centre for Mathematical and Computational Biology (CMCB), School International Lead

Georgina Cherry profile image

Georgina Cherry

Data Scientist at vHive

Deborah Dunn-Walters profile image

Professor Deborah Dunn-Walters

Professor of Immunology, Lead for University Research Theme Lifelong Health

André Gerber profile image

Professor Andre Gerber

Professor of RNA Biology

Clare Rusbridge profile image

Professor Clare Rusbridge

Professor in Veterinary Neurology

Lada Timotijevic profile image

Dr Lada Timotijevic

Principal Research Fellow; Deputy Director of the Food, Consumer Behaviour and Health Research Centre

Find us

Address

University of Surrey
Guildford
Surrey
GU2 7XH