| Citation | Richard Samworth, Professor of Statistical Science and Director of the Statistical Laboratory at the University of Cambridge, has made fundamental contributions to the development of modern statistical methodology and theory. He has pioneered the introduction of data perturbation methods in today's Big Data era, for tasks such as classification (the canonical problem of machine learning) and model selection. He has also made seminal contributions to nonparametric inference under shape constraints, nearest neighbour methods and changepoint problems, among other areas. Samworth received the Committee of Presidents of Statistical Societies (COPSS) Presidents' Award in 2018, and currently serves as co-editor of the Annals of Statistics.Richard Samworth, Professor of Statistical Science and Director of the Statistical Laboratory at the University of Cambridge, has made fundamental contributions to the development of modern statistical methodology and theory. He has pioneered the introduction of data perturbation methods in today's Big Data era, for tasks such as classification (the canonical problem of machine learning) and model selection. He has also made seminal contributions to nonparametric inference under shape constraints, nearest neighbour methods and changepoint problems, among other areas. Samworth received the Committee of Presidents of Statistical Societies (COPSS) Presidents' Award in 2018, and currently serves as co-editor of the Annals of Statistics. |