Professor at the London School of Hygiene & Tropical Medicine, Adam specialises in the maths of contagion and risk, revealing the patterns of how things spread and how we can make better predictions. From the lifespan of ideas to the intricacies of human behaviour, AI to disinformation, he finds new ways to extract crucial insights from data, and the wide-ranging lessons this leads to.
Dr Adam Kucharski is a mathematician, epidemiologist, and author. Currently working as a Professor at the London School of Hygiene and Tropical Medicine and as a Senior Fellow at TED, Adam specialised in the mathematics of real life and digital contagion. He reveals the patterns and predictions of how things spread.
Adam has written several books which explore the science of everyday life. The most recent, Proof: The Uncertain Science of Uncertainty, explores how we separate truth from fiction and make better decisions in an uncertain world, drawing on real life examples of misinformation to demonstrate how we can communicate more effectively. His previous book, The Rules of Contagion: Why Things Spread - and Why They Stop, considers the new rules of social contagion in an interconnected world, looking at topics including human behaviour, technology and finance.
In speeches, Adam brings his expertise to help businesses handle uncertainty and make better predictions, as well as looking at why things spread - such as disinformation, innovations, and financial crises.
Adam has led large-scale studies of social behaviour and immunity, as well as developing new ways to understand and predict outbreaks. He has contributed scientific insights to government and health agencies; been profiled by the New York Times and The Times, and collaborated on research with organisations such as Meta, Space X, the BBC and the Premier League.
Adam has also written for Wired, The Times, the Financial Times, as well as being a regular voice on BBC radio and television. He has been recognised for his work with the Medical Research Council Career Development Award in Biostatistics and the Wellcome Henry Dale fellowship, as well as The Adams Prize, one of the most prestigious prizes in mathematics, for his work on epidemiological methods.