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Nando de Freitas is a researcher in the field of machine learning, and in particular in the subfields of neural networks, Bayesian inference and Bayesian optimization, and deep learning.[1]
Nando de Freitas | |
|---|---|
| Born | |
| Alma mater | University of the Witwatersrand, Trinity College, Cambridge |
| Known for | |
| Scientific career | |
| Fields | Computer science |
| Institutions | University of British Columbia, Oxford University |
De Freitas was born in Zimbabwe. He did his undergraduate studies (1991–94) and MSc (1994–96) at the University of the Witwatersrand, and his PhD at Trinity College, Cambridge (1996-2000).[2] From 2001, he was a professor at the University of British Columbia, before joining the Department of Computer Science at the University of Oxford from 2013 to 2017. He now works for Google's DeepMind.[3]
De Freitas has been recognised for his contributions to machine learning through the following awards:
- Best Paper Award at the International Conference on Machine Learning (2016)
- Best Paper Award at the International Conference on Learning Representations (2016)
- Google Faculty Research Award (2014)[4]
- Distinguished Paper Award at the International Joint Conference on Artificial Intelligence (2013)[5]
- Charles A. McDowell Award for Excellence in Research (2012)[6][7]
- Mathematics of Information Technology and Complex Systems Young Researcher Award (2010)[8][9]
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