Dennis Wang is a Professor and Chair in Data Science specializing in health data science and precision medicine, with a track record of translating multi-omics and high-dimensional patient data into clinically actionable biomarkers and predictive models across cancer, cardiovascular, neurological and infectious diseases. He directs research labs in London and Singapore, leads international, multidisciplinary teams, and partners with pharma and tech to accelerate biomarker discovery and precision drug development. His background spans academia, industry and national research institutes—from AstraZeneca and Microsoft Research to A*STAR and the NIHR Sheffield BRC—blending rigorous statistical genetics and machine learning with practical platform-building for genomics and NGS. A mentor and program leader, he has built cross-border research infrastructures and MSc programs while attracting significant competitive funding early in group leadership. Notably, he combines deep computational training (PhD in statistics/genetics from Cambridge) with hands-on drug-development experience, enabling rapid translation from longitudinal multi-omics signals to clinical decision support.
9 years of coding experience
17 years of employment as a software developer
PhD, Statistics, Genetics, PhD, Statistics, Genetics at University of Cambridge
BSc, Computer Science, Microbiology and Immunology, BSc, Computer Science, Microbiology and Immunology at The University of British Columbia
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