Robert Grant is a statistician from Winchester, England, who has been working in health settings since the 1990s. He is Associate Director Biostatistics at Novartis in the Advanced Exploratory Analysis team.
His first degree was in mathematics, followed by a master's in medical statistics and a doctorate in Bayesian models for challenging data. He has written two textbooks with CRC Press, on data visualisation and Bayesian meta-analysis.
His skills centre on Bayesian models and algorithms, evidence synthesis, consulting, communication and visualisation. His ongoing theoretical interests are in high-dimensional statistics and density estimation.
His first book, "Data Visualization: charts, maps and interactive graphics" was published by CRC Press and the American Statistical Society in 2018.
"Bayesian Meta-Analysis: a practical introduction", co-written with Professor Gian Luca Di Tanna, was published by CRC Press in June 2025.
Having worked with many software packages and programming languages over the years, Robert now mostly uses R and C++ to create accessible tools for researchers to adopt advanced methods.
Prior to joining Novartis, Robert worked at the Royal College of Physicians of London (hospital performance indicators, evidence-based clinical guidelines) and at St George's University of London and Kingston University (epidemiological and health services research, teaching statistics, graduate student supervision). He was also a freelance consultant and trainer with his own company, BayesCamp, for 8 years, with clients including the World Bank, Harvard Medical School, The Economist, the UK Cabinet Office, and the Royal College of Paediatrics and Child Health.
