Invited Speakers

Professor Paul Clegg, University of Edinburgh

Professor Paul Clegg an experimental soft matter physicist specialising in soft interfacial materials. He is known for his work creating new materials using trapped interfacial particles. Recently he has been increasingly focusing on data analysis and modelling.

Title: The use of machine learning in soft matter research

Professor Jacqui Cole, University of Cambridge

Professor Jacqueline Cole holds the Royal Academy of Engineering Research Professorship in Materials Physics at the University of Cambridge, where she is Head of Molecular Engineering. She concurrently holds the BASF / Royal Academy of Engineering Research Chair in Data-driven Molecular Engineering of Functional Materials. This is partly funded by the ISIS neutron and Muon Source, STFC Rutherford Appleton Laboratory, Oxfordshire, UK, with whom she holds a joint appointment.

She combines artificial intelligence with data science, computational methods and experimental research to afford a 'design-to-device' pipeline for data-driven materials discovery. Her research is highly interdisciplinary.

Title: Data-driven Materials Discovery

Professor Lorna Dougan, University of Leeds

Lorna is a Professor of Physics, a European Research Council Fellow and EPSRC public engagement champion. She leads a multidisciplinary research group to explore multiscale structure and mechanics in soft and biological matter. You can read more about the Dougan Group’s research here: Home - Lorna Dougan Research Group (leeds.ac.uk)

Title: Hydrogels for Health and Medicine

Dr Chris Holland, University of Sheffield

Dr Chris Holland is a Senior Lecturer in the Department of Materials Science and Engineering at the University of Sheffield. Prior to this he studied Biology and obtained his doctorate from Oxford University investigating a model biopolymer, silk. His group’s research uses tools developed for the physical sciences to better understand how processing affects performance in natural materials, with a focus on relating protein hydration to function (www.naturalmaterialsgroup.com). He is a previous recipient of an EPSRC Early Career Fellowship and was Principle Coordinator of a H2020 FET OPEN EU consortia investigating sustainable polymer processing. Outside the lab, he is an Associate Editor for ACS Biomaterials Science and Engineering and Chair of the IoM3 Natural Materials Group.

Dr Bart Vorselaars, University of Lincoln

Dr Bart Vorselaars is a Theoretical and Computational Physicist and Senior Lecturer in the School of Mathematics and Physics at the University of Lincoln. His research is on investigating physical phenomena of soft matter using various simulation techniques and recently in the self-assembly behaviour of block copolymers using field theoretic simulations. He also has an interest in machine learning.

Title: From self-assembling block copolymers to machine learning

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