Shakir Mohamed
Researcher Google DeepMind
| University of Montreal
Dr. Shakir Mohamed is a scientist and engineer specializing in statistical machine learning and artificial intelligence. He is passionate about interdisciplinary research that addresses global challenges and promotes social transformation. His research is centered around three pillars: probabilistic foundations of learning and intelligence, addressing global challenges, and transformation.
Dr. Mohamed is a senior staff research scientist at DeepMind in London, where he works on developing intelligent and general-purpose learning systems. He is also the founder of Deep Learning Indaba, a non-profit organization that aims to strengthen African machine learning and artificial intelligence.
Dr. Mohamed has held various positions in academia and industry, including a Junior Research Fellowship from the Canadian Institute for Advanced Research (CIFAR) and a Ph.D. from the University of Cambridge. He has also held positions at the University of British Columbia and University College London. Dr. Mohamed has been a program chair and co-chair for various conferences, including ICLR and DALI. He is a member of the Royal Society's Diversity Committee and was elected to the Board of Directors of ICML and ICLR in 2019.