Nando de Freitas
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Nando de Freitas | |
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| Born | |
| Alma mater | University of the Witwatersrand, Trinity College, Cambridge |
| Known for | |
| Scientific career | |
| Fields | Computer science |
| Institutions | |
| Thesis | Bayesian Methods for Neural Networks (2000) |
| Doctoral advisor |
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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]
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. In 2014, he joined Google's DeepMind when the company acquired Oxford spinoff Dark Blue Labs.[3][4][5] He was in charge of the team that worked on creating tools for generating audio and images at DeepMind.[6] In September 2024, de Freitas joined Microsoft AI as VP of AI.[7][6]
