Zoubin Ghahramani
| Zoubin Ghahramani | |
|---|---|
 Zoubin Ghahramani in 2015, portrait from the Royal Society | |
| Born |
February 8, 1970[1][2] Iran |
| Residence | United Kingdom |
| Fields | |
| Institutions | |
| Alma mater | |
| Thesis | Computation and Psychophysics of Sensorimotor Integration (1995) |
| Doctoral advisor | |
| Doctoral students | |
| Known for | |
| Notable awards | FRS (2015)[9] |
|
Website mlg | |
Zoubin Ghahramani FRS[9] (Persian: زوبین قهرمانی; born 8 February 1970)[1] is an Iranian researcher[3][10] and Professor of Information Engineering at the University of Cambridge. He holds joint appointments at Carnegie Mellon University, University College London and the Alan Turing Institute. and has been a Fellow of St John's College, Cambridge since 2009.[1]
Education
Ghahramani was educated at the American School of Madrid in Spain and the University of Pennsylvania where he was awarded a double major degree in Cognitive Science and Computer Science in 1990.[1] He obtained his Ph.D from the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology, supervised by Michael I. Jordan and Tomaso Poggio.[5][11]
Research and career
Following his PhD, Gharamani moved to the University of Toronto in 1995 as an ITRC Postdoctoral Fellow in the Artificial Intelligence Lab, working with Geoffrey Hinton. From 1998 to 2005, he was a member of the faculty at the Gatsby Computational Neuroscience Unit, University College London.
Ghahramani has made significant contributions in the areas of Bayesian machine learning (particularly variational methods for approximate Bayesian inference), as well as graphical models and computational neuroscience. His current research focuses on nonparametric Bayesian modelling and statistical machine learning. He has also worked on artificial intelligence, information retrieval, bioinformatics and statistics which provide the mathematical foundations for handling uncertainty, making decisions, and designing learning systems. He has published over 200 papers, receiving over 30,000 citations (an h-index of 74).[12][13]
Awards and honours
Ghahramani was elected Fellow of the Royal Society (FRS) in 2015.[9] His certificate of election reads:
Zoubin Ghahramani is a world leader in the field of machine learning, significantly advancing the state-of-the-art in algorithms that can learn from data. He is known in particular for fundamental contributions to probabilistic modeling and Bayesian nonparametric approaches to machine learning systems, and to the development of approximate variational inference algorithms for scalable learning. He is one of the pioneers of semi-supervised learning methods, active learning algorithms, and sparse Gaussian processes. His development of novel infinite dimensional nonparametric models, such as the infinite latent feature model, has been highly influential.[9]
References
- 1 2 3 4 GHAHRAMANI, Prof. Zoubin. Who's Who. 2008 (online Oxford University Press ed.). A & C Black, an imprint of Bloomsbury Publishing plc. (subscription required)
- ↑ "Zoubin Ghahramani curriculum vitae" (PDF). User zoubin at CMU. Retrieved 16 April 2014.
- 1 2 Zoubin Ghahramani's publications indexed by Google Scholar
- ↑ Zoubin Ghahramani from the ACM Digital Library
- 1 2 3 4 Zoubin Ghahramani at the Mathematics Genealogy Project
- ↑ Mohamed, Shakir (2011). Generalised Bayesian matrix factorisation models (PhD thesis). University of Cambridge.
- ↑ Ortega, Pedro Alejandro (2011). A unified framework for resource-bounded autonomous agents interacting with unknown environments (PhD thesis). University of Cambridge.
- ↑ Turner, Ryan Darby (2012). Gaussian processes for state space models and change point detection (PhD thesis). University of Cambridge.
- 1 2 3 4 Anon (2015). "Professor Zoubin Ghahramani FRS". London: Royal Society. Archived from the original on 2015-11-17. One or more of the preceding sentences incorporates text from the royalsociety.org website where:
“All text published under the heading 'Biography' on Fellow profile pages is available under Creative Commons Attribution 4.0 International License.” --"Royal Society Terms, conditions and policies". Archived from the original on September 25, 2015. Retrieved March 9, 2016.
- ↑ Ghahramani, Z. (2015). "Probabilistic machine learning and artificial intelligence". Nature. 521 (7553): 452–9. doi:10.1038/nature14541. PMID 26017444.
- ↑ Jordan, M. I.; Ghahramani, Z.; Jaakkola, T. S.; Saul, L. K. (1999). "An Introduction to Variational Methods for Graphical Models". Machine Learning. 37 (2): 183–233. doi:10.1023/A:1007665907178.
- ↑ Wolpert, D. M.; Ghahramani, Z; Jordan, M. I. (1995). "An internal model for sensorimotor integration". Science. New York. 269 (5232): 1880–2. doi:10.1126/science.7569931. PMID 7569931.
- ↑ Research in Focus – Building an Automated Statistician with Zoubin Ghahramani on YouTube, Microsoft Research