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Kan Keeratimahat

CDT Student

Kan completed his Bachelor’s degree in Mathematics, Operational Research, Statistics and Economics [MORSE] at University of Warwick. He then studied Masters in Mathematical Sciences at University of Oxford where he expanded and deepened knowledge in Networks, Statistical Machine Learning, and Quantum Computer Science. He wrote his Master’s dissertation on Ruin Probabilities under a Risk-Sharing Mixed-Distributional Network which bridged the classical theory of ruin probability and networks as inspired by real-world phenomena. He enjoys utilising statistical machine learning tools to acquire insights in complex health data and also creating digital innovation using machine learning to make day-to-day life more fun.