Charlie has worked with startups, governments, charities, universities and multinational corporations as a data scientist, technical consultant and researcher. He has a PhD in bioinformatics, where he examined the role of rare codons in protein folding. He completed a post doc at the University of Bristol on whole-cell models of Escherichia coli. He was previously the Technical Lead on the GSMA’s AI for Impact project, looking at the application of mobile network data for international and humanitarian development, where he worked on standards for sharing mobile location data anonymously, scoped and led implementations using mobile data for transport planning, and contributed to industry-wide ethical guidelines for responsible AI. At AIBIO he is the resident research software engineer, based at Aberystwyth University. He chairs the AI-ready Bioscience Datasets (AIRBDS) working group and sits on the RRI and Ethics working group.

Reyer is the Head of the Graduate School at the Aberystwyth University and has a chair in Computer Science. Reyer has 20+ years collaborative research experience with clinical/biology experts covering the development of machine learning and medical/biological image/data analysis techniques. More recently, he has also been working at the interface with digital repositories and represents Aberystwyth University at Supercomputing Wales. Current funding includes UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning and Advanced Computing (EP/S023992/1), Miscanthus AI- Plant Selection and Breeding for Net Zero (EP/Y005430/1).

Rachel is a Senior Postdoctoral Bioinformatician at the Earlham Institute. Her research focuses on understanding crop genetic variation and the identification of pangenomic resources that can be used to develop climate resilient crops for more sustainable agriculture. Rachel works primarily on bread wheat, adapting existing bioinformatic tools and pipelines to work with large complex crop datasets. With a background in transcriptomics, she also uses network analysis to understand how genes work in concert to regulate key processes such as abiotic stress responses. Rachel has a background in crop science and plant molecular genetics, and has over 20 years’ experience working in both academic and industry-led research environments, overseas and in the UK. She is an advocate of collaborative, open and inclusive research cultures, a Women in Wheat champion and a member of the Women in Crop Science initiative. Rachel is a member of the AI-ready Bioscience Datasets (AIRBDS) and EDI (Equality, Diversity and Inclusivity) working groups.

Alex is an Assistant Professor of Agriculture and the Environment at the University of Nottingham. Her research targets plant physiology; understanding the interactions between plant form and function in relation to dynamic growth environments. She combines cross disciplinary methodologies including plant physiology, gas exchange, 3-dimensional reconstruction, empirical modelling and deep learning to link plant canopy structure to the impact on photosynthesis and other metabolic processes. Alex is currently leading a BBSRC International partnership award in AI for biosciences to analyse cross scale water use in plants.

Ian Overton FRSB FHEA is a Reader (Associate Professor) of bioinformatics at Queen’s University Belfast where he leads the ‘Data Intensive Biomedicine’ research programme in the Patrick G Johnston Centre for Cancer Research and is a Heath Data Research UK associate. He has long standing interests in machine learning and biomedical data, for example chairing the open data working group at the Royal Society of Edinburgh’s Young Academy of Scotland (2011-2017). Ian’s research includes systems approaches to connect genotype with phenotype in health and disease, integrative network modelling of cell phenotypic plasticity, drug discovery, structural bioinformatics, digital health, and resource/methods development; for example SynLeGG and eHDPrep. He read biochemistry at Oxford University and completed his PhD in bioinformatics in the Hubbard group, University of Manchester working in functional genomics. His postdoctoral research was in the Barton group, University of Dundee and part of the Structural Proteomics of Rational Targets consortium. Ian started his research group in 2009, supported by two consecutive independent research fellowships at the MRC Human Genetics Unit and University of Edinburgh leading an ‘Integrative Network Biology’ programme. His work spans fundamental and translational research, including partnerships with industry.