Shakir Mohamed

Shakir Mohamed

Shakir is a scientist and engineer in the fields of statistical machine learning and artificial intelligence. He is most interested in research that combines multiple disciplines and views of machine learning and its applications. Shakir shapes his efforts around three conceptual pillars: Probabilistic Foundations of Learning and Intelligence, Addressing Global Challenges, and Transformation. He works towards developing methods focussed on probabilistic reasoning that lead to systems for agent-based decision-making. He works towards the application of machine learning to global challenges in healthcare and environment, and towards social Transformation that supports greater diversity, responsibility, and freedom. Shakir loves exploring and writing about the connections between different computational, epistemological, and social paradigms.

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  • Organization
    Google DeepMind
  • Profession
    Research Scientist

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