Maike Osborne Keynote Speaker

Professor of Machine Learning at Oxford University
Co-founder and Chief Science Officer, Mind Foundry Ltd
Co-author, with Carl Benedikt Frey of the seminal paper on how AI will eliminate many jobs by 2030

Maike Osborne's Biography

Dr. Maike Osborne is the Professor of Machine Learning in the Department of Engineering Science at Oxford University.

Her work on automation and its impact on the world of work, with Carl Benedikt Frey, has been covered by BBC Newsnight, CNN, The Economist, Financial Times, Wall Street Journal, Foreign Affairs, New York Times, Washington Post, Der Spiegel, Scientific American, TIME Magazine and The Guardian, amongst many other venues.

Maike is the co-founder and Chief Science Officer of Mind Foundry Ltd, an Oxford spin-out company which has grown to 70+ employees. This firm brings together the world’s best scientists, engineers, design-thinkers and more to tackle the most challenging problems across numerous industries. They are innovators, changemakers and helpful stewards of AI as it begins to shape our world for years to come.

She has acted as principal or co-investigator for £20m of research funding. She has expertise in active learning, Gaussian processes, Bayesian optimisation, and Bayesian quadrature, and is a co-founder of the emerging field of probabilistic numerics. Her algorithms have been applied in fields as diverse as astrostatistics, ornithology, and sensor networks.

Maike’s work on the societal impacts of machine learning and robotics has been cited over 15,000 times, and has resulted in both sustained coverage in almost all major media venues (e.g. hers being interviewed on BBC Newsnight, a cover feature in the Economist) and policy impact (including presenting oral evidence to the UK House of Commons Science and Technology Committee).

Please note that talks below were given before Maike’s transition in 2026.

She is Professor of Machine Learning at the University of Oxford, bringing world-class academic rigour to how organisations understand and deploy AI.
She co-authored the landmark “Future of Employment” research with Carl Benedikt Frey, giving leaders a clear, data-driven lens on how automation reshapes jobs, skills and competitive advantage.
She translates frontier machine learning methods, including probabilistic and Bayesian techniques, into practical decision-making for complex, high-stakes environments.
She co-founded Mind Foundry and serves as Chief Science Officer, connecting cutting-edge research to real-world applications across industries.
She brings credibility with policymakers and senior stakeholders through sustained public and institutional engagement on the societal impact of AI and robotics.