
Biography
Xinyi Kang is a postgraduate researcher in the Department of Mathematics at King's College London. Prior to her doctoral studies, Xinyi completed two master’s degrees: an MSc in Actuarial Management at Bayes Business School, City, University of London, and an MSc in Risk Management and Financial Engineering at Imperial College London.
Research interests
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Extreme value theory
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Statistical inference with scarce data
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Machine learning techniques for extreme risk prediction
PhD supervision
First supervisor: Dr Claudia Neves
Second supervisor: Dr Davide Pigoli
Research

Statistics
The group has research strengths in the design and analysis of experiments, time series and Markov chain Monte Carlo and sequential Monte Carlo methods.
Research

Statistics
The group has research strengths in the design and analysis of experiments, time series and Markov chain Monte Carlo and sequential Monte Carlo methods.