Since joining AstraZeneca in 2007 I have held a number of diverse roles focused on driving the application of data science, advanced analytics and related approaches to unlock the full potential of data –transforming the way medicines are discovered and developed and making a difference to patients’ lives.
As a senior data science leader, I am focused on setting strategy and direction for data science and AI within R&D. I’m passionate about bringing out the best in our people and helping them to seize the opportunity to develop their careers doing something challenging and meaningful.
A particle physicist by training, I spent my early career as an academic researcher before becoming a scientific software engineer consulting across a range of different industries, including the life sciences.
I am an Honorary Reader in Computer Science at the University of Manchester. I serve on the Council of the Royal Statistical Society, where I am Vice-Chair of the Data Science Section. I have contributed to and published in a number of diverse fields such as data visualisation, cryptography, text mining, machine learning and health data science. In 2021, DataIQ ranked me at number four among their 100 most influential data and analytics practitioners.
What made me choose AstraZeneca – and what remains exciting to me over a decade later – is the opportunity to take the skills I have acquired as a data scientist and use them to develop medicines to make a real difference to patients’ lives.
Ranked 4th most influential data and analytics practitioner by DataIQ
Elected Council member for the Royal Statistical Society, starting January 2021
Honorary Reader in Computer Science at the University of Manchester
Machine Learning for Clinical Trials in the Era of COVID-19.
Zame WR, Bica I, Shen C et al. Statistics in Biopharmaceutical Research. 2020. DOI: 10.1080/19466315.2020.1797867.