Dr. Lei Lu is a Lecturer (Assistant Professor) 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 co-leads a clinical AI supra interest group at the Alan Turing Institute, the UK’s national centre for Data Science and AI.

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 Department of Electrical and Electronic Engineering, University of Melbourne, 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. He also contributes to the academic community by serving as conference co-chair, area chair, session chair, and workshop committee for IJCAI, CIKM, ICRA, and IEEE BHI. He was a guest editor for IEEE JBHI, one of the leading journals in biomedical and health informatics. 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.

Deep Learning for Advancing Cardiovascular Healthcare

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Dr Lei Lu

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