Zoubin Ghahramani

Zoubin Ghahramani

Zoubin Ghahramani in 2015, portrait from the Royal Society
Born (1970-02-08) 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
  • Matthew Beal[5]
  • Shakir Mohamed[6]
  • Pedro Ortega[7]
  • Ryan Turner[8]
  • Jurgen Van Gael[5]
Known for
Notable awards FRS (2015)[9]
Website
mlg.eng.cam.ac.uk/zoubin/

Zoubin Ghahramani FRS[9] (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 and University College London.

Education

Ghahramani obtained his Ph.D from the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology, under the supervision of Michael I. Jordan.[5][11]

Research

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.[12]

Awards and honours

Ghahramani was elected Fellow of the Royal Society (FRS) in 2015.[13] 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. 1 2 GHAHRAMANI, Prof. Zoubin. Who's Who 2016 (online Oxford University Press ed.). A & C Black, an imprint of Bloomsbury Publishing plc. (subscription required)
  2. ↑ "Zoubin Ghahramani curriculum vitae" (PDF). User zoubin at CMU. Retrieved 16 April 2014.
  3. 1 2 Zoubin Ghahramani's publications indexed by Google Scholar, a service provided by Google
  4. ↑ Zoubin Ghahramani from the Association for Computing Machinery (ACM) Digital Library
  5. 1 2 3 4 Zoubin Ghahramani at the Mathematics Genealogy Project
  6. ↑ Mohamed, Shakir (2011). Generalised Bayesian matrix factorisation models (PhD thesis). University of Cambridge.
  7. ↑ Ortega, Pedro Alejandro (2011). A unified framework for resource-bounded autonomous agents interacting with unknown environments (PhD thesis). University of Cambridge.
  8. ↑ Turner, Ryan Darby (2012). Gaussian processes for state space models and change point detection (PhD thesis). University of Cambridge.
  9. 1 2 3 "Professor Zoubin Ghahramani FRS". London: Royal Society. Archived from the original on 2015-05-02.
  10. ↑ Ghahramani, Z. (2015). "Probabilistic machine learning and artificial intelligence". Nature 521 (7553): 452–9. doi:10.1038/nature14541. PMID 26017444.
  11. ↑ 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.
  12. ↑ 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.
  13. ↑ "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 at the Wayback Machine (archived September 25, 2015)


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