Data Analytics Event Recordings

Speakers

  Prof Tim Ebbels was awarded his PhD in 1998 from the University of Cambridge. His group focuses on the application of bioinformatic, machine learning and chemometric techniques to post-genomic data, with a particular emphasis on computational metabolomics. Key areas of interest are NMR & MS data processing, data integration, visualisation, network analysis, time series and metabolite annotation. He is particularly known for the ‘BATMAN’ software for analysing complex metabolic NMR spectra. Tim is a previous Director of the international Metabolomics Society and a co-founder of the London Metabolomics Network. He has supported numerous efforts promoting quality and reusability of metabolomics data and is an editorial board member for BMC Bioinformatics. He has a strong commitment to education, serving as Director of the MRes in Biomedical Research at Imperial College (~1000 students trained). He is a Fellow of the Royal Society of Chemistry and Lifetime Honorary Fellow of the Metabolomics Society.

 

 

 

 Louise Wright is the Head of Science for Data Science at the National Physical Laboratory, the UK’s National Metrology Institute. Her main area of research is the application of numerical techniques such as finite element (FE) methods to metrology problems from a wide range of areas of physics. She is interested in methods of integrating measurement data into models to enable estimation and uncertainty evaluation for parameters and initial conditions, which feeds into the idea of a “digital twin”.

 Louise received an MA in Mathematics from Cambridge University in 1994, and an MSc in Mathematical Modelling and Numerical Analysis from Oxford University in 1995. She spent four years working with FE in industry before joining NPL in 1999. Louise is the chair of the NAFEMS Working Group on Computational Structural Mechanics and is a founding member of the NAFEMS Professional Simulation Engineer certification scheme.

 

 

 

                                                                                                                                                                                                        

Tony Bristow is Principal Scientist for Analytical and Measurement Science and Director for Trace Analysis in Chemical Development at AstraZeneca (Macclesfield, UK). In addition, Tony holds the role of technology and capability lead for the Analytical Sciences Leadership Team, within AstraZeneca’s Pharmaceutical Technology & Development organisation. These roles are focussed on the development and delivery of analytical science strategy and currently has a focus on the implementation and application of automation and digital technologies. Prior to this current role, Tony’s expertise was the application and development of mass spectrometry (2005 - 2018). Tony is the Chair of the Industry Advisory Board of the Community for Analytical Measurement Science (CAMS) and a Visiting Professor at the University of Warwick. Tony is a former member of the Royal Society of Chemistry Analytical Division Council (2013-2019) and the former Chair of the British Mass Spectrometry Society (2012-2014). Tony was awarded a degree in Applied Chemistry in 1992 and his PhD (mass spectrometry) in 1996. Tony previously worked for Kodak and LGC focussed on a variety of analytical science based projects. Tony is an author/co-author of 47 peer reviewed publications and regularly presents at national and international conferences.

 

 

 

Professor Francis Pope (School of Geography, Earth and Environmental Sciences, University of Birmingham) is an expert on the causes and effects of climate change, air pollution and resilient cities. He draws together and synthesises evidence from multiple disciplines, including the natural, medical, and social sciences, to understand how climate change and air pollution affect human health and how they relate to urban development. A key component of his research is the management and analysis of data from multiple sources including regulatory and crowd sourced data streams.