Mathematics & Statistics
Advanced mathematical concepts and quantitative methods, including stochastic processes and calculus, essential for complex modeling.
Research Scientist / Google
Ian Osband is a prominent Research Scientist currently working at Google, focusing on foundational research for the next generation of AI. Previously, he was a Member of Technical Staff at OpenAI and a Research Scientist at DeepMind for over seven years. His core research expertise lies in reinforcement learning and decision-making under uncertainty, with notable contributions to deep exploration techniques like Randomized Value Functions and Posterior Sampling.
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Doctor of Philosophy (PhD)
MMath
BA Hons
King's Scholar
Ian Osband is a leading researcher in Artificial Intelligence, specializing in decision-making under uncertainty and reinforcement learning. His work focuses on developing statistically and computationally efficient algorithms for deep exploration in complex environments.
Advanced mathematical concepts and quantitative methods, including stochastic processes and calculus, essential for complex modeling.
Expertise in developing and applying machine learning models, particularly in the context of sequential decision-making and reinforcement learning.
Proficiency in Python and Matlab for research and development, alongside financial tools like Bloomberg and VBA for quantitative finance applications.
Experience in financial modeling, fixed income, derivatives, and credit strategy from roles at JPMorgan Chase and other financial institutions.