Associate Editor of IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Cognitive and Developmental Systems
Recipient of the Turing Network Development Award
Recipient of an Amazon Research Award
Joint recipient of the Wellcome Trust Innovator Award and NIHR AI in Health and Care Award
Led high-impact research projects including: inverse protein folding via denoising diffusion, multimodal VAE for low-cost cardiac assessment, line graph transformer for molecular property prediction, bilinear attention network for drug–target interaction prediction, etc.
Developed and maintains the open-source multimodal learning library PyKale
Background
Professor of Machine Learning and Head of AI Research Engineering at the University of Sheffield, UK
Director of the UK Open Multimodal AI Network (UKOMAIN), funded by EPSRC
Research focuses on deployment-centric multimodal AI technologies for healthcare and scientific discovery
Research areas include: Multimodal AI (foundation models, generative AI, domain adaptation, transfer learning), Healthcare (brain/cardiac imaging, cancer diagnosis/treatment), Scientific Discovery (protein engineering, drug/materials discovery)
Leads the development of the open-source machine learning library PyKale, part of the PyTorch ecosystem, enabling interdisciplinary research