Amelia Green

Dr Amelia Green leads the Research Software Innovation Team at the Bennett Institute for Applied Data Science, where her work sits at the intersection of research and software. She leads a multidisciplinary team focused on rapid experimentation: working closely with researchers to identify problems, test new ideas, and develop practical tools and approaches that make research faster, easier and more reproducible.

Amelia has over a decade of research experience and has worked extensively with large-scale, routinely collected health data. Much of her recent work has been within OpenSAFELY, where she has contributed to a wide range of research addressing clinical and public health questions. Her work has contributed to evidence informing clinical guidance, health policy and healthcare delivery in the UK and internationally.

Her research interests span statistical modelling, prediction and inference, with a particular interest in Bayesian methods and their application to complex real-world problems. She has worked across pharmacoepidemiology, public health and applied data science, and has contributed to more than 60 peer-reviewed publications.

Amelia holds a PhD in statistics and pharmacoepidemiology, an MSc in Mathematical Science, and a BSc in Mathematics and Sports Science. Her multidisciplinary background informs her approach to data science, combining rigorous quantitative research with the development of practical software and tools that enable researchers to work more effectively.