Haiping Lu is a Professor of Machine Learning, the Turing Network Development Award Lead, and Insigneo Research Director for Healthcare Data / AI at University of Sheffield. He is also the lead organiser of the Alan Turing Institute’s interest group on meta-learning for multimodal data. He received his BEng and MEng from Nanyang Technological University, Singapore, in 2001 and 2004, and his PhD from University of Toronto, Canada, in 2008.

His research focuses on developing translational AI technologies for better analysing multimodal data in healthcare and beyond, particularly multidimensional data and heterogeneous graphs in bioinformatics and medical imaging. He leads the development of the PyKale library to provide more accessible machine learning from multiple sources for interdisciplinary research, officially part of the PyTorch ecosystem.

He serves as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Cognitive and Developmental Systems. He leads the development of a course on An Introduction to Transparent Machine Learning, part of the Alan Turing Institute’s online learning courses in responsible AI. He was a recipient of a Turing Network Development Award, an Amazon Research Award, an AAAI Outstanding PC Member Award, a Hong Kong Research Grants Council Early Career Award, and an IEEE CIS Outstanding PhD Dissertation Award. He was also a joint-recipient of a Wellcome Trust Innovator Award and an NIHR AI in Health and Care Award.