🆕 The UKOMAIN Round 1 funding call is now open, launching our Open Multimodal AI Benchmark (OMAIB) initiative. Register for the 11 July webinar to learn more.

📢 MultimodalAI’25, the UK’s flagship community workshop on multimodal AI, will be held on 16–17 September 2025 at the Barbican Centre, London, hosted by UKOMAIN. You can now register, submit an abstract, or become a sponsor.

---

🏛️ I am a Professor of Machine Learning at the School of Computer Science and the Head of AI Research Engineering at the Centre for Machine Intelligence, University of Sheffield. I am also the Director of the UK Open Multimodal AI Network (UKOMAIN), funded by EPSRC, building on the Meta-learning for Multimodal Data interest group at the Alan Turing Institute. Follow our UKOMAIN LinkedIn page for the latest updates and opportunities or subscribe to our Multimodal AI Community mailing list.

🖥️ My research focuses on translational multimodal AI technologies for healthcare and scientific discovery:

• Multimodal AI: Foundation models, generative AI, domain adaptation, and transfer learning.
• Healthcare: Brain/cardiac imaging, and cancer diagnosis/treatment.
• Scientific Discovery: Protein engineering, and drug/materials discovery.

I lead the development of the open-source software library PyKale, part of the PyTorch ecosystem, enabling accessible machine learning for interdisciplinary research.

🏅 I serve as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Cognitive and Developmental Systems. My awards include a Turing Network Development Award, an Amazon Research Award, and joint Wellcome Trust Innovator and NIHR AI in Health and Care awards.

---

📩 PhD enquiries: Email me ONE PDF including your CV, a statement on why and your source of funding, 1-3 papers, and transcripts before applying. Also check the English language requirements.