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Shakir Mohamed

Shakir Mohamed (Deep Mind, UK)

Shakir is senior staff scientist at DeepMind in London, having joined DeepMind in 2013. Shakir's research is in the areas of probabilistic machine learning and artificial intelligence; and organises his research and thinking around three pillars, on foundations of reasoning and intelligence, towards addressing global challenges, and Transformation. He has been giving talks on many Machine Learning workshops and summer schools including Deep Learning Indaba 2018, MLSS-London 2019, and MLSS-Tuebingen 2020

Shakir was recently elected to the ICML board of directors. He was a programme chair for ICLR 2019 and DALI2019, and is the senior programme chair for ICLR 2020. Shakir is also part of the Deep Learning Indaba, where he helps drive it's mission of Strengthening African Machine Learning and artificial intelligence, through its programmes related to community-building, leadership, recognition and policy.

Prior to joining DeepMind, Shakir held a Junior Research Fellowship from the Canadian Institute for Advanced Research (CIFAR) as part of the programme on Neural Computation and Adaptive Perception, working with Nando de Freitas. Shakir holds a PhD in Statistical Machine Learning from the University of Cambridge having worked under the supervision of Zoubin Ghahramani. He is from Johannesburg, South Africa, where he completed his undergraduate and masters degrees in electrical and information engineering.