Dr. Michael Osborne

Biography

Michael Osborne is an expert in the development of intelligent algorithms capable of making sense of complex big data. His work in Machine Learning and non-parametric data analytics has been successfully applied in diverse and challenging contexts. For example, his probabilistic algorithms have aided in the detection of planets in distant solar systems, and his contributions to autonomous robotics have enabled self-driving cars to accurately navigate and adapt to changes in road conditions. Addressing key societal challenges, he analyzes the potential of intelligent algorithms to substitute human workers and predicts the resulting impact on employment. Michael serves as a Professor of Engineering Science and is an Official Fellow at Exeter College, as well as a faculty member at the Oxford-Man Institute of Quantitative Finance, University of Oxford. He has a particular expertise in Gaussian processes, active learning, Bayesian optimization, and Bayesian quadrature, with a focus on the emerging field of probabilistic numerics. His research extends across various fields including exoplanet search, finance, crystallography, and autonomous robotics. Michael is also interested in the impact of machine learning and new technologies on the nature of work, exploring the profound societal changes driven by automation and machine intelligence.

Research Interests

Courses