Is UK Analytical Data Science drowning in information

The State of Data Analytics Meeting

Is the UK analytical data science drowning in information, but starving for knowledge?

How do we use our data in analytical science? A prospective meeting looking at how we produce, store and consume data.

Data analytics is at the heart of every useful analytical measurement we perform in academia and across the chemical and bio industries. Yet, we do not have an active community in the UK that brings data producers, data storers and data consumers under a single roof. For the UK to remain competitive globally, we must bridge the gap between analytical chemistry and data analytics in the UK and promote opportunities for knowledge exchange, skills exchange and training in academia and industry.

 This event will bring together prominent UK and international experts in data analytics with the aim of defining data analytics in analytical chemistry, identifying grand challenges faced by the data analytics community and propose short term and long term solutions to rectify the situation and address future needs. This event will populate recommendations and requirements for the field with a view to encourage policy dialogue with funding and other bodies.

 The day will consist of a series of presentations and workshops to discuss questions, brainstorm ideas, identify problems and develop solutions to improve the state of data analytics in the UK.

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.

Meet the Data Analytics Theme Co-chairs

Organising Committee

  • Lucy Morgan, Pfizer (co-Chair)
  • Drupad Trivedi, University of Manchester (co-Chair)
  • Chiara Giorio, University of Cambridge
  • Alex Henderson, University of Manchester
  • Alison Nordon, University of Strathclyde
  • Victoria Hilborne, University College London
  • Sylvain Demanze, AstraZeneca

Registration

To register your interest please click here

Event details

Wednesday 13 March 2024

9:30-16:00 (GMT)

Christ’s College,

St Andrew's Street, Cambridge, CB2 3BU

Our Sponsors

Thank you to all our sponors. Without your contributions it would have not been possible to facillitate such an important event. 

 

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Taking you from instruments and analytical data to knowledge and decisions and beyond, MESTRELAB RESEARCH’s innovative scientific software is for analytical chemistry data processing, analysis & reporting.  We create solutions for automated analysis as well as desktop solutions. Our workflows include request-to-result solutions, data preservation tools and are set up to enable you to build the future by including the ability to transform analytical data to become AI-ready. 

Our tools support NMR, LC-GC/MS, and optical spectroscopic data and enable extraction of meaningful chemical information from your analytical data

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