About Me
My name is Huiqi Yvonne Lu. I am a passionate biomedical and machine learning engineer buzzing with ideas and aspire to real-world impact, especially in developing digital health innovations for everyone, anywhere.
Many colleagues and friends call me Yvonne (middle name) or Luqi (nickname since childhood, pronounced as lu ch-ii). Huiqi is my official first name, pronounced as Hwei ch-ii.
In my current role, I served as an academic Faculty Member, Co-chair of the researchers' committee at the Department of Engineering Science, and a Stipendiary Lecturer in Engineering Science at Worcester College, University of Oxford. I also hold an Honorary Research Fellow position at the George Institute for Global Health, Imperial College London.
In professional service, I served as an Associate Editor of Nature npj Women's Health, a Chief Editor of a Special Collection of Advances in AI for Women's Health, Reproductive Health, and Maternal Care: Bridging Innovation and Healthcare, and a guest editor of Frontier Signal Processing. She has served as a workshop committee member and junior round table chair at notable conferences, including ICLR (PMLDC), NeurIPs (ML4H), IJCAI(KDHD), and the PHME. I also actively contribute to the IEEE Standard Committee for P3191: Performance Monitoring of Machine Learning-enabled Medical Devices in Clinical Use.
Please find my institutional webpage here, and my academic "revolving-door" journey here.
About this website
This is a playground where I share my academic life, thoughts, journeys, and curiosity. I hope you find it an interesting place too.
学术奖项及奖品
2023 年 NCRM 影响力奖亚军，国家研究方法中心。（2023 年）
比尔和梅琳达·盖茨基金会全球挑战项目奖，获奖项目为“大型语言模型 (LLM) 助力印度农村一线医护人员能力建设”。(2023)
由英国皇家工程院提名的CAETS 高潜力创新奖英国国家获奖者。（2021 年）
牛津大学计算健康信息学实验室公众参与冠军。（2020 年）
英国皇家工程院达芙妮·杰克逊信托职业重返研究奖学金（2019 年）
英国伦敦下议院 SET 英国国家决赛入围者（2007 年）
研究委员会（UKRI）海外研究生奖学金（2005）
由美国数学及其应用联合会主办的美国国际跨学科建模竞赛（MCM / ICM）荣誉奖。（2003 年）
中华人民共和国教育部主办的全国大学生数学建模竞赛一等奖（2002年）、二等奖（2003年）。
出版物
Lu, H.,Lu, P., Hirst, J.E., Mackillop, L., Clifton, D.A. ‘A Stacked Long Short-Term Memory Approach for Predictive Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus’, Sensors 2023, 23, 7990.Available online at: https://doi.org/10.21203/rs.3.rs-2653408/v1
Lu, H., Ding, X., Hirst J., Yang, Y., Yang, J., Mackillop L., Clifton, D., ‘Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes’, IEEE Review of Biomedical Engineering, 2023. Available online at: https://ieeexplore.ieee.org/document/10039073
Ghadban Y., Lu, H, Adavi U., Gara, S., Ankita Sharma, A., John, R., Praveen D., Hirst, J., ‘Transforming Healthcare Education: Harnessing Large Language Models for Frontline Worker Capacity Building using retrieval-augmented generation’, NeurIPs workshop in LLM for Education, 2023. doi: 10.1101/2023.12.15.23300009
Talyor, L., Ding, X., Clifton, D., Lu, H., ‘Wearable vital signs monitoring for patients with asthma: a review,’ IEEE Sensors Journal, 02/2023. doi:10.1109/JSEN.2022.3224411 Available online at: https://ieeexplore.ieee.org/abstract/document/9967964