I am a DPhil candidate at the University of Oxford with a multidisciplinary background spanning digital health, software engineering, and medical research. My work focuses on improving long-term postpartum cardiovascular health through mobile health interventions. I am conducting a systematic review and two data-driven projects using the UK’s large electronic health record dataset (CPRD), developing cardiovascular risk prediction models and biomarker trajectory analyses following gestational hypertension. These projects integrate clinical insights with advanced quantitative methods, bridging Life Sciences and Medicine with Mathematical Sciences.

My research has consistently explored innovative digital solutions—from mobile motion tracking for gait analysis in neurological disorders to designing mobile applications that support aging-in-place. Recognized through several prestigious awards such as the Oxford Clarendon Fund Scholarship and a research Fellowship by the German Government (DAAD), my work underscores the transformative potential of combining rigorous mathematical modeling with real-world clinical applications.

Joining the Hong Kong Laureate Forum will provide an unparalleled opportunity to collaborate with top experts, enhance interdisciplinary research, and contribute to groundbreaking advancements in healthcare technology. I am eager to share my insights and learn from leaders at the forefront of both life and mathematical sciences to drive impactful change in global health outcomes.

Letter-of-Support-Celine-HK.pdf

My research focuses on improving long-term postpartum cardiovascular health through mobile health interventions. I am currently conducting a systematic review to evaluate the effectiveness of mobile health interventions delivered during pregnancy and the postpartum period in reducing cardiovascular risk factors. Complementing this review, I am undertaking two data-driven projects using the UK’s Clinical Practice Research Datalink (CPRD) - a very large dataset of electronic health records. The first project develops a cardiovascular risk prediction model following gestational hypertension, while the second investigates biomarker trajectory patterns to predict adverse cardiovascular outcomes in this population. This research is critical because cardiovascular disease remains the leading cause of morbidity and mortality among women. As future outcomes tend to be more severe after gestational hypertension - a common condition during pregnancy - early intervention during the postpartum period represents a pivotal opportunity to alter future disease trajectories and overall life quality. Ultimately, these projects aim to identify the most influential modifiable cardiovascular risk factor, providing evidence to support the development of a targeted mobile intervention that informs clinical decision-making and facilitates early, tailored care for women affected by gestational hypertension.