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Xinyi Kang

Xinyi Kang

PhD Candidate

Contact details

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

  • Extreme value theory

  • Statistical inference with scarce data

  • Machine learning techniques for extreme risk prediction

PhD supervision

First supervisor: Dr Claudia Neves

Second supervisor: Dr Davide Pigoli

Research

ARTICLE Graphs 2
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

ARTICLE Graphs 2
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.