Antonio Remiro-azócar is a Principal Scientist at Novo Nordisk and an Honorary Research Fellow at UCL, specializing in quantitative evidence synthesis, data fusion, HTA and observational science. He develops novel statistical and causal inference methods to combine evidence across trials, real-world data and external control arms, and translates those methods into regulatory and commercial decision-making. With a PhD in Statistical Science and master’s degrees in Machine Learning and Financial Computing from UCL, he brings eight years of cross-sector experience including leadership roles at Bayer and consultancy for IQVIA, ICON and SickKids. Antonio is known for bridging rigorous methodology with practical impact—mentoring teams, establishing academic-industrial collaborations, and representing industry in international working groups. An accomplished communicator, he routinely trains stakeholders and authors scientific publications while pursuing research on estimands and covariate adjustment that inform real-world evidence strategies.
8 years of coding experience
3 years of employment as a software developer
BSc Mathematics and Physics, BSc Mathematics and Physics at University of Bath
Grado Medio Piano Performance, Grado Medio Piano Performance at Katarina Gurska Educación Musical y Fundación
Contributions:9 commits, 7 pushes, 1 branch in 1 year 2 months
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Antonio Remiro-azócar - Principal Scientist at UCL