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.

Share this speaker
  • Organization
    Google DeepMind
  • Profession
    Research Scientist
Related sessions
31 May 2024
09:00 - 11:50 CEST Geneva
Amir Banifatemi (AI Commons), Aimee van​ Wynsberghe (Foundation for Responsible Robotics), Caroline Gans Combe (OMNES EDUCATION - INSEEC)...
30 May 2024
09:30 - 17:30 CEST Geneva
Amir Banifatemi (AI Commons), Aimee van​ Wynsberghe (Foundation for Responsible Robotics), Caroline Gans Combe (OMNES EDUCATION - INSEEC)...

Are you sure you want to remove this speaker?