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Biography

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My name is Huiqi Yvonne Lu. I am a passionate entrepreneurial engineer buzzing with ideas and aspire to real-world impact, especially in developing digital health innovations for everyone, anywhere.

 

Huiqi is my official first name, pronounced as Hwei ch-ii. Many colleagues and friends call me Yvonne (middle name) or Luqi (nickname since childhood, pronounced as lu ch-ii). 

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In my academic role, I am enjoying my research in AI and swarm intelligence at the Department of Engineering Science, as well as teaching as a College Lecturer in Engineering at Worcester College, University of Oxford. 

 

In professional service, I have served as a workshop committee member and junior round table chair at notable conferences, including ICLR (PMLDC), NeurIPS (ML4H), IJCAI(KDHD), and the PHME. As a senior member of IEEE, a committee member of UK&Ireland EMBS, I actively contribute to the IEEE Standard Committee for P3191: Performance Monitoring of Machine Learning-enabled Medical Devices in Clinical Use. I am an Associate Editor (academic) of Nature npj Women's Health, and a co-editor of a Special Collection of Advances in AI for Women's Health, Reproductive Health, and Maternal Care: Bridging Innovation and Healthcare, and an editorial board member (statistics) of BMJ AI & Digital Health. 

 

Please find my institutional webpage here, my research here, and my academic "revolving-door" journey here.

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About this website

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This is a place where I share my academic life, thoughts, journeys, and curiosity. I hope you find it an interesting place too. ​​

Research Interests

  • Time-series multimodal modelling

  • Federated health foundation models

  • In-network ML and computing infrastructure

  • Physiological and psychological modelling with LLM and human in the loop 

  • Robotics and human interactions

Academic Awards and Prizes

  • Best Lightning Talk Award (Biomed AI and Health Theme), Oxford University AI and Ethics Conference. (2026)

  • Best Paper Award at the International Conference on Gender and Technology. (2025)

  • Runners-up of the NCRM Impact Prize 2023, National Centre for Research Methods. (2023)

  • Bills and Melinda Gates Foundation Global Challenge Project Award for “Large Language Model (LLM) to Build Frontline Healthcare Worker Capacity in Rural India”. (2023)

  • UK national winner of the CAETS High Potential Innovations Prizes, nominated by the Royal Academy of Engineering, UK. (2021)

  • Public Engagement Champion, Computational Health Informatics Lab, University of Oxford. (2020) 

  • Royal Academy of Engineering Daphne Jackson Trust Career Re-entry Research Fellowship award (2019)

  • National finalist of the SET for Britain, House of Commons, London, UK. (2007)

  • Research Council (UKRI) Overseas Research Studentship (2005) 

  • Honourable Mention Award in the USA International Interdisciplinary Contest in Modelling (MCM / ICM), administered by the USA Consortium for Mathematics and Its Applications. (2003)

  • First Prize Winner (2002) and Second Prize Winner (2003) of the China National University Student Mathematics Modelling Competition, organized by the Ministry of Education, P.R. China.

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