Yannis Assael
Yannis Assael is a Greek artificial intelligence research scientist currently working at Google DeepMind.
Biography
Yannis Assael graduated from the Department of Applied Informatics, University of Macedonia, Greece, in 2013. In 2014, he did his MSc in Computer Science at the University of Oxford, where he received the Tony Hoare Prize for the best overall performance in his class. In 2015, he continued for an MRes in Machine Learning at Imperial College London, and in 2016-2019, he went back to the University of Oxford for a DPhil degree in Machine Learning supported by the Oxford - Google DeepMind Graduate Scholarship. Today he is a Research Scientist at Google DeepMind.
Research
His research focuses on:
* Deep reinforcement learning and differentiable multi-agent communication.
* Audio-visual speech recognition (LipNet).
* Ancient text restoration using deep learning.
Awards and Scholarships
Here is the list of awards and scholarships won by Yannis Assael:
* Tony Hoare Prize for “Best overall performance in the MSc in Computer Science”, University of Oxford, 2014.
Biography
Yannis Assael graduated from the Department of Applied Informatics, University of Macedonia, Greece, in 2013. In 2014, he did his MSc in Computer Science at the University of Oxford, where he received the Tony Hoare Prize for the best overall performance in his class. In 2015, he continued for an MRes in Machine Learning at Imperial College London, and in 2016-2019, he went back to the University of Oxford for a DPhil degree in Machine Learning supported by the Oxford - Google DeepMind Graduate Scholarship. Today he is a Research Scientist at Google DeepMind.
Research
His research focuses on:
* Deep reinforcement learning and differentiable multi-agent communication.
* Audio-visual speech recognition (LipNet).
* Ancient text restoration using deep learning.
Awards and Scholarships
Here is the list of awards and scholarships won by Yannis Assael:
* Tony Hoare Prize for “Best overall performance in the MSc in Computer Science”, University of Oxford, 2014.
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