Richard Samworth

Richard John Samworth FRS^[1] (born May 1978) is the Professor of Statistical Science and the Director of the Statistical Laboratory, University of Cambridge,^[2] and a Teaching Fellow of St John's College, Cambridge. He was educated at St John's College, Cambridge. His main research interests are in nonparametric and high-dimensional statistics. Particular topics include shape-constrained density estimation and other nonparametric function estimation problems, nonparametric classification, clustering and regression, the bootstrap and high-dimensional variable selection problems.

Richard John Samworth FRS
Born	May 1978 (age 47)
Alma mater	St John's College, Cambridge
Scientific career
Fields	Statistics
Institutions	University of Cambridge
Thesis	Some mathematical and theoretical aspects of the bootstrap (2004)
Doctoral advisor	Alastair Young

Honours and awards

• IMS Grace Wahba Award & Lecture 2025^[3]
• The Guy Medal in Silver 2025, Royal Statistical Society^[4]
• David Cox Medal 2025^[5]
• Arthur Cohen Award & Lecture 2024, Rutgers University^[6]
• Rustagi Memorial Lecture 2021, The Ohio State University^[7]
• Fellow, Royal Society (2021 election)^[1]
• The COPSS Presidents' Award 2018^[8]
• IMS Medallion Lecture 2018 ^[9]
• The Adams Prize 2017^[10]
• Fellow, American Statistical Association (2015 election)^[11]
• Philip Leverhulme Prize 2014, Leverhulme Trust^[12]
• Fellow, Institute of Mathematical Statistics (2014 election)^[13]
• The Guy Medal in Bronze 2012, Royal Statistical Society^[14]
• The Research Prize 2008, Royal Statistical Society^[15]

Selected works

• Cannings, Timothy I.; Samworth, Richard J. (2017). "Random-projection ensemble classification". Journal of the Royal Statistical Society, Series B (Statistical Methodology). 79 (4): 959–1035. arXiv:1504.04595. doi:10.1111/rssb.12228.
• Cule, Madeleine; Samworth, Richard; Stewart, Michael (2010). "Maximum likelihood estimation of a multi-dimensional log-concave density". Journal of the Royal Statistical Society, Series B (Statistical Methodology). 72 (5): 545–607. arXiv:0804.3989. doi:10.1111/j.1467-9868.2010.00753.x. S2CID 1524045.
• Fan, J., Samworth, R. and Wu, Y. (2009), Ultrahigh dimensional feature selection: beyond the linear model, Journal of Machine Learning Research, 10, 2013–2038.
• Hall, Peter; Park, Byeong U.; Samworth, Richard J. (2008). "Choice of neighbor order in nearest-neighbor classification". The Annals of Statistics. 36 (5): 2135–2152. arXiv:0810.5276. doi:10.1214/07-AOS537.