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Current Role and Contributions
Shakir Mohamed stands as a towering figure in the realm of artificial intelligence, currently holding the esteemed position of Senior Staff Scientist at Google DeepMind since February 2014. His work has been foundational to the development of general-purpose learning algorithms and the advancement of statistical machine learning, particularly in the domains of probabilistic reasoning and generative models.
Professional Journey
Shakir’s illustrious career in AI began with his role as a Senior Researcher in Statistical Machine Learning at DeepMind Technologies from April 2013 to January 2014. Prior to his tenure at DeepMind, he served as a Junior Research Fellow at the University of British Columbia, where he focused on neural computation and adaptive perception from April 2011 to April 2013. His professional journey also includes a stint as a Business Analyst at Nedbank from 2006 to 2007, showcasing his versatility across different sectors.
Academic Excellence
Shakir’s academic credentials are as impressive as his professional achievements. He earned his PhD in Statistical Machine Learning from the University of Cambridge, where he was honored as a Commonwealth Scholar. His academic journey began with a BSc (Eng) in Electrical and Information Engineering with Distinction from the University of the Witwatersrand, South Africa, where he also received numerous accolades, including the Chancellor’s Medal, Dr. D. L. Bernstein Award, SAIMM Gold Medal, and the Bernard Price Prize in Electrical Engineering.
Pioneering Contributions to AI and Community Building
Beyond his contributions at DeepMind, Shakir Mohamed is a co-founder and Chair of the Board of Trustees of the Deep Learning Indaba, a non-profit organization dedicated to bolstering African leadership in machine learning and AI. Under his guidance, the organization has made significant strides in community building, mentorship, and policy development, aiming to elevate the capabilities and recognition of African researchers in the global AI landscape.
Leadership and Advocacy
Shakir’s influence extends to various academic and professional committees. He is a member of the Royal Society’s Diversity and Inclusion Committee and has held leadership roles in prominent AI conferences such as NeurIPS and ICLR. His advocacy for diversity and inclusion in AI underscores his commitment to creating an equitable and inclusive environment in the field.
Research Focus and Vision
Shakir’s research interests are expansive, covering deep learning, Bayesian statistics, and the sociotechnical implications of AI. He is a strong proponent of leveraging AI to address global challenges, emphasizing solutions that promote equity, safety, and responsibility. His work not only pushes the boundaries of machine learning but also seeks to integrate ethical considerations, ensuring that AI advancements benefit society as a whole.
Location
Based in Greater London, England, Shakir continues to be a driving force in AI research and development, inspiring a new generation of researchers and professionals in the field.
Conclusion
Shakir Mohamed’s journey through the intricate world of artificial intelligence and machine learning exemplifies dedication, innovation, and leadership. His contributions have not only advanced the field but also paved the way for a more inclusive and responsible AI future. His ongoing efforts at DeepMind and beyond continue to shape the landscape of AI, making him a pivotal figure in the industry.
