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CONES 2018 - Three AI Algorithms Inspired by Data from the Life Sciences

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Edmond J Safra Lecture Theatre

Strand Building, Strand Campus

King's College London

London

WC2R 2LS

United Kingdom

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In this lecture, Dr Allan Tucker will talk about "Three AI Algorithms Inspired by Data from the Life Sciences".

In this talk he will discuss how the analysis of real-world data from health and the environment can shape novel AI algorithms. Firstly, he will discuss some of his work on modelling clinical data. In particular he will discuss the collection of longitudinal data and how this creates challenges for diagnosis and the modelling of disease progression. Then he will discuss how cross-sectional studies offer additional useful information that can be used to model disease diversity within a population but lack valuable temporal information. Finally, discussed will be the importance of inferring models that generalise well to new independent data and how this can sometimes lead to new challenges, where the same variables can represent subtly different phenomena. Some examples in ecology and genomics will be described.

Biography

Dr Tucker's first degree was in Cognitive Science at Sheffield University, UK, where he became interested in models of brain function and human and animal behaviour. His other interests include learning models of time-series data in order to try and understand the underlying processes, with a focus on biological, clinical and ecological data. He received his Ph.D at Birkbeck College, University of London sponsored by the Engineering and Physical Sciences Research Council; Honeywell Hi-Spec Solutions, UK; and Honeywell HTC, USA. As a Senior Lecturer at Brunel University London he leads the Intelligent Data Analytics Research group. His current research interests in health informatics include applications of machine learning for modelling high dimensional gene expression data, the use of latent variables to improve disease prediction & understanding, and personalised models of disease trajectories. His expertise has been sought on multiple committees (NHS, Wellcome, REFORM, PHG foundation, Otsuka Health) on the use of AI in health and medical research. He also has collaborations with Leiden University Medical School and University College London on gene regulatory networks; the Royal Botanical Gardens, Kew, mining specimen data; and is exploring the dynamics of fish populations in the Baltic Sea & Northern Atlantic in conjunction with the Canadian Department of Fisheries and Oceans, DEFRA, and the University of Helsinki.

This talk is an open lecture, part of the CONES 2018 conference. More information @ www.cones2018.com

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Location

Edmond J Safra Lecture Theatre

Strand Building, Strand Campus

King's College London

London

WC2R 2LS

United Kingdom

View Map

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