Dr. M Sanni Ali is a senior researcher in pharmacoepidemiologic methods at the Center for Statistics in Medicine, University of Oxford, Oxford, and an assistant professor of epidemiology at the Department of Non-Communicable Disease Epidemiology London School of Hygiene and Tropical Medicine, LSHTM, London, UK.

He studied Veterinary Medicine and has an MSc in epidemiology and economics, and a PhD in epidemiology with specialization in pharmacoepidemiologic methods at Utrecht University, the Netherlands. He has experience in the design, analysis, and interpretation of electronic medical records including data from several European countries including the Netherlands (Mondriaan), Spain (BIFAP), UK (THIN and CPRD), and the USA (MarketScan), as well as simulation studies on validating and improving different statistical methods.

Sanni is primarily interested in causal inference in clinical and pharmacoepidemiology, methods dealing with confounding, mediation, effect modification, and missing data. He works on large (linked) electronic healthcare record databases (to generate evidence on comparative effectiveness and safety, benefits, and risks) of medications, medical devices, and (surgical) interventions.