Dr Huiqi Yvonne Lu is a clinical machine learning scientist and a Stipendiary Lecturer in Engineering Science at the University of Oxford. She also holds an honorary Research Fellow position at the George Institute for Global Health, Imperial College London. Her research focuses on clinical machine learning, sensor signal processing, and wearable devices for patient monitoring, especially on digital health innovations for global women’s health and chronic health conditions such as diabetes. Her current research interest is to develop health foundation model for time-series data, and exploring the feasibility of using meta-learning with large language models for explainable AI for health monitoring, disease discovery, thereby reduce digital health disparities, especially for LMICs. One of her recent research adventures is to develop reasoning-informed model to enhance clinical capacity in India using large language models, funded by the Bills and Melinda Gates Foundation Global Challenge Grant and the George Institute for Global Health.
She is an Associate Editor of Nature npj Women’s Health and a Co-Chief Editor of the special collection of Advances in AI for women’s health, reproductive health, and maternal care: bridging innovation and healthcare. She has served as a workshop committee member and junior round table chair at at notable conferences, including ICLR (PMLDC), NeurIPs (ML4H), IJCAI(KDHD), and the PHME. Dr Lu is an active contributor in the IEEE Standard Committee for P3191: Performance Monitoring of Machine Learning-enabled Medical Device in Clinical Use.