Big Data Analytics V Conference: Programme

Big Data Analytics Conference Series: Data Visualisation

2018 Big Data Analytics Conference

Tuesday 3 July, 2018





Sir Leszek Borysiewicz, Chairman of Cancer Research UK
David Hand, Chief Scientific Advisor, Winton Group



Chair: David Hand, Chief Scientific Advisor, Winton Group

Speaker: Andrew Cardno, Founder & Chief Technology Officer, VizExplorer


Session one: Graphics and design

Chair: David Hand, Chief Scientific Advisor, Winton Group

Emma Cosh, Freelance Data Visualisation Designer
Oliver O'Brien, Senior Research Associate, University College London




Session two: Data visualisation in science

Chair: Nick Luscombe, Chair in Computational Biology, University College London

Nils Gehlenborg, Assistant Professor, Department of Biomedical Informatics at Harvard Medical School
Amaury Triaud, Astronomer, School of Physics & Astronomy, University of Birmingham


Session three: Methods and approaches for visualising data

Chair: Barry Leventhal, Emeritus Chair of the MRS Census and Geodemographics Group

Antony Unwin, First Professor of Computer-Oriented Statistics and Data Analysis, University of Augsburg
Edward Longhurst, Chief Technology Officer, Winton Group


Networking break


Session four: Panel discussion

Chair: Florian Markowetz, Group Leader, Cancer Research UK Cambridge Institute

Jon Geraghty, Senior Analytical Director, dunnhumby
Jen Christiansen, Senior Graphics Editor, Scientific American Magazine
Damian Pattinson, Vice President of Publishing Innovation, Research Square
Peter Furness, Founder, Peter Furness Limited

Panel discussion



Chair: Giles Pavey, Chief Data Scientist, dunnhumby

Speaker: Alan Smith OBE, Data Visualisation Editor, Financial Times


Closing remarks followed by drinks reception

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Contact us

Cancer Research UK Research Events Team

+44 (0)20 3469 6348

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Our partner

Winton is a global investment management and data science company. Founded in 1997 by its CEO David Harding, Winton’s business is grounded in the belief that the scientific method can be profitably applied to the field of investing. The firm aims to help savers and institutional clients meet their investing goals by building intelligent, long-term investment systems that evolve as markets change. 

As a systematic investment manager, Winton uses tools drawn from data science and advanced technology to identify subtle patterns in the behaviour of financial markets. Winton’s investment funds are all underpinned by the same philosophy: the belief that markets, rather than being what is termed “efficient”, exhibit exploitable behavioural characteristics. Harnessing these phenomena requires the understanding and use of statistical, mathematical and computing techniques. 

Winton employs more than 400 people in nine offices around the world and manages approximately $30billion of assets for many of the world’s largest pension funds, sovereign wealth funds, banks and fund platforms.