Director, UK Open Multimodal AI Network (UKOMAIN) at The University of Sheffield
Sheffield, England, United Kingdom
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Summary
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Haiping Lu is a Professor of Machine Learning and the Director of the UK Open Multimodal AI Network (UKOMAIN), leading a £1.8M EPSRC programme to advance open multimodal AI research and translation. Based at the University of Sheffield, he founded and heads the AI Research Engineering (AIRE) team and serves as Turing Academic Lead to strengthen university–institute collaborations. His research focuses on translational multimodal AI for healthcare and scientific discovery, spanning foundation models, generative AI, domain adaptation, and applications in imaging, protein engineering and drug discovery. He is the lead developer of PyKale, an open-source PyTorch library that lowers barriers to interdisciplinary ML, and an associate editor for two IEEE Transactions, reflecting a blend of hands-on software engineering, community building, and academic leadership. Notably, his mentorship has produced multiple prize-winning MSc dissertations, underscoring a commitment to training the next generation of multimodal AI researchers.
9 years of coding experience
18 years of employment as a software developer
M.ENG & B.ENG, EEE, M.ENG & B.ENG, EEE at Nanyang Technological University
Ph.D., Electrical and Computer Engineering, Ph.D., Electrical and Computer Engineering at University of Toronto
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
Contributions:14 releases, 1235 reviews, 833 commits in 2 years 7 months
COM6012 Scalable Machine Learning - University of Sheffield. Enjoy our resources? ⭐ Star this repository to show your support and help others discover it!
Contributions:3 releases, 1 review, 242 commits in 3 years 2 months
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Haiping Lu - Director, UK Open Multimodal AI Network (UKOMAIN) at The University of Sheffield