Alexander Gammerman: Difference between revisions
Overview about the academic career of Gammerman |
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Revision as of 22:08, 18 September 2020
Alexander Gammerman | |
|---|---|
| Born | |
| Nationality | British |
| Alma mater | St. Petersburg Russia |
| Known for | Conformal Prediction |
| Scientific career | |
| Fields | Machine learning Statistics |
| Institutions | Royal Holloway, University of London |
Alexander Gammerman is a British computer scientist, and professor at Royal Holloway University of London. He is the co-inventor of Conformal Prediction, a modern machine learning method with proven validity. He is the founding director of the Centre for Machine Learning at Royal Holloway, University of London, and a Fellow of the Royal Statistical Society.
Biography
Gammerman was born in the Soviet Union and spent his formative years in Tallinn, Estonia. After finishing school, he went to university and obtained his first degree in Physics. In 1972, after a postgraduate study, he was awarded a doctorate degree in Physics and Mathematics at St. Petersburg (formely Leningrad).
Career
Alexander Gammerman's academic career has been pursued in two countries: Russia and the United Kingdom. He worked as a Research Fellow in the Agrophysical Research Institute, St. Petersburg. In 1976 he moved as a Senior Research Fellow into a newly established Regional Research Computer Centre of Academy of Agriculture, also in St. Petersburg. At the same time, he became involved in the pattern recognition research. He developed algorithms and software for classification problems and applied them to diagnosing cancer at St. Petersburg's Cancer Research Institute.
In 1983, he emigrated to the UK and was appointed as a Lecturer in Computer Science Department at Heriot-Watt University, Edinburgh. He was subsequently promoted to Reader in 1989. One of his research interests at the time was Bayesian methods. Together with Roger Thatcher, Gammerman published several papers on Bayesian inference without assuming independence[1]. In 1993 he was appointed to the established chair in Computer Science at University of London tenable at Royal Holloway and Bedford New College. He served as Head of Computer Science department from 1995 to 2005. In 1998, the Centre for Reliable Machine Learning was established and he became the first Director of the Centre. His research interest at the time was developing with his colleague Vladimir Vovk a new machine learning method called Conformal Predictors. One of the first papers in this field was published in 1998 jointly with Vladimir Vovk and Vladimir Vapnik. In 2005, the main ideas were published in a monograph written by Vladimir Vovk, Alexander Gammerman and Glenn Shafer entitled Algorithmic Learning in a Random World[2] and presented at the 2nd British Computer Society's lecture published with discussion[3].
Honours and awards
In 1996, Gammerman received the P.W. Allen Prize of Forensic Science Society, the 2020 Amazon Research Award. In 2006, he became a Honorary Professor, at University College London. In 2009, he became a Distinguished Professor (Profesor visitante distinguido Santander-UCM) of Complutense University de Madrid, Spain.
References
- ^ Gammerman, Alex; Thatcher, A. R. (1990). "Bayesian Inference in an Expert System without Assuming Independence". Advances in Artificial Intelligence. New York, NY: Springer New York. pp. 182–218. doi:10.1007/978-1-4613-9052-7_10. ISBN 978-1-4613-9054-1.
- ^ Vovk, Vladimir (2005). Algorithmic learning in a random world. New York: Springer. ISBN 0-387-00152-2. OCLC 209818494.
- ^ Gammerman, Alexander; Vovk, Vladimir (February 1, 2007). "Hedging Predictions in Machine Learning". The Computer Journal. 50 (2). Oxford University Press (OUP): 151–163. doi:10.1093/comjnl/bxl065. ISSN 1460-2067.