Michael A Osborne

Michael A Osborne is Professor of Machine Learning at the University of Oxford and leads the Bayesian Exploration Lab. He serves as Director of the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems and co-directs the Oxford Martin AI Governance Initiative. His research focuses on Bayesian optimization, Gaussian processes, and probabilistic numerics with applications in quantum devices, battery modeling, and AI governance.

• Key Positions:
  • Professor of Machine Learning, University of Oxford
  • Official Fellow, Exeter College
  • Co-founder of Mind Foundry
  • Lead Researcher, Oxford Martin Programme on Technology and Employment
• Research Themes:
  • Probabilistic modeling for quantum systems
  • Uncertainty quantification in energy storage
  • AI safety and societal impact analysis
  • Automated experimental design
  • Quantum device calibration
  • Probabilistic numerical methods
• Technical Contributions:
  • Bridging reality gap in quantum devices
  • Efficient Bayesian quadrature techniques
  • Personalized neurostimulation algorithms
  • Automated measurement protocols
  • Quantum-classical hybrid ML