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Research Supervision

I have supervised ten MSc theses across programmes in Genomic Medicine, Health Data Analytics, and Epidemiology. The majority of these projects have resulted in peer-reviewed publications, with theses published as an original research articles in journals such as the Cardiovascular Research (CVR; Official ESC Journal), JAHA, The Lancet Regional Health – Southeast Asia, and Atherosclerosis. Many of my mentees have gone on to secure PhD funding, research positions, and industry roles at prestigious institutions (University of Oxford, etc.), reflecting my commitment to supportive, rigorous, and career-focused mentorship.

A list of all supervised MSc students and their current affiliations can be found below

Former MSc students

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Jingxian (Terry) Huang

MSc Epidemiology

Current affiliation: Research assistant, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London

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Siwei Wu

MSc Health Data Analytics and Machine Learning

Current affiliation: Researcher, Shanghai Children’s Medical Center, Shanghai Jiao Tong University, School of Medicine, Shanghai, China

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Hannah Li

MSc Health Data Analytics and Machine Learning

Current affiliation: PhD student, University of Cambridge

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Manyi Jia

MSc Health Data Analytics and Machine Learning

Current affiliation: Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London

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Yi-Hsuan Ko (Catherine) 

MSc Health Data Analytics and Machine Learning

Current Affiliation: DPhil student, University of Oxford, UK

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Yueyan Wu

MSc Health Data Analytics and Machine Learning

Current affiliation: Xiaomi Technology Company (China)

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Ning (Iris) Wang

MSc Epidemiology

Current affiliation: Senior Biostatistician, UCLA Health IBBC Microbiome Center, University of California, Los Angeles

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Margaux Achtari

MSc Epidemiology

Current affiliation: Internal medicine resident and MD candidate, Lausanne University Hospital (CHUV), Switzerland

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Sofia Soltero 

MSc Health Data Analytics and Machine Learning

Current affiliation: to be updated

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Sze Sen Wang

MSc Health Data Analytics and Machine Learning

Current affiliation: MSc student, Harvard T.H. Chan School of Public Health

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