
Richard Saldanha
Academic · Statistical Machine Learning
Queen Mary University of LondonAbout
Dr. Richard Saldanha is a Visiting Lecturer at the School of Economics and Finance, Queen Mary University of London. His expertise spans statistical machine learning, quantitative finance, and AI applications. He holds a DPhil in graph theory and multivariate statistics from the University of Oxford. Alongside academia, he manages Oxquant, an Oxford-based quantitative finance consultancy, and contributes to The Alan Turing Institute’s AI for Control Problems Project.
Dr. Saldanha’s career includes over 20 years in City of London financial institutions, specializing in risk management, trading, and fund management. He is a Chartered Statistician, Chartered Scientist, and a Fellow in Artificial Intelligence with the Institute of Science and Technology. His research emphasizes bridging theoretical AI advancements with practical financial systems and regulatory challenges.
Publications highlight themes like large language models, artificial general intelligence, and ethical AI. His work frequently intersects technical innovation with industry application, particularly in finance and regulatory technology.
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