Dr Lei Lu

Dr. Lei Lu is a Lecturer in Health Data Science and AI at King’s College London, and a Visiting Research Fellow at the Institute of Biomedical Engineering, University of Oxford.

Lei obtained his PhD from the Harbin Institute of Technology in China, complemented by two-year visiting research at the University of British Columbia in Canada. Upon completing his PhD study, Lei had his postdoctoral research at the Faculty of Engineering and Information Technology at the University of Melbourne in Australia. Subsequently, he joined the Institute of Biomedical Engineering at University of Oxford as a Senior Research Associate, where he developed deep learning models for cardiovascular disease diagnosis and biomarker identification using large-scale healthcare data.

Lei’s work focuses on clinical machine learning and computational informatics to advance healthcare outcomes, utilising diverse medical data sources, such as electronic health records, medical notes, lab tests, and wearable data. This involves developing multimodal AI and interpretable deep learning models for healthcare applications, including medical diagnosis, patient phenotyping, health prediction, biomarker identification, and digital intervention.

Lei is actively engaged in a range of academic roles, including invited speaker at prestigious seminars and conferences, such as the IET Annual Healthcare Lecture and the IEEE-EMBS Symposium on MDBS. He also contributes to the academic community by serving as conference session chair, workshop committee, and guest editor for IJCAI, CIKM, ICRA, and IEEE JBHI. He received the IET J.A. Lodge Award in 2021, which is presented annually to one early-career researcher with distinction in the UK and abroad.