Bowen Su

Dr. Bowen Su serves as a Research Fellow in Chronic Disease Epidemiology within the Department of Epidemiology and Biostatistics at Imperial College London's School of Public Health. Her research pioneers innovative methodologies for early cancer detection and multimorbidity analysis using interdisciplinary datasets spanning clinical records, genomics, proteomics, and metabolomics.

Her academic foundation includes:

• MD from a leading Chinese university (2012)
• Master's in Health & Rehabilitation from the University of Southampton (2014)
• PhD from Imperial College London (2022)

Dr. Su's research integrates epidemiology and biostatistics to address chronic disease challenges, with particular emphasis on cancer-dementia relationships and drug repurposing. She employs advanced causal inference techniques including Mendelian randomization and double/debiased machine learning to analyze complex health datasets, focusing on metformin's therapeutic potential and multimorbidity patterns in aging populations.

Analysis of her publication trajectory reveals consistent methodological innovation in handling competing risks and poor overlap in observational data, with growing applications in artificial intelligence for population health. Her work demonstrates increasing integration of omics technologies with clinical epidemiology since 2020.

No formal advising roles or scientific awards are documented in the provided materials.

Her research leverages Imperial College's resources including the UK Clinical Practice Research Datalink, operating within collaborative frameworks addressing global chronic disease burdens through data-driven public health solutions.