About
Xiaoqing completed her PhD in Mathematics at The Alan Turing Institute, jointly registered with the Department of Mathematics and Statistics at the University of Exeter.
Research interests:
In general, Xiaoqing's research interests blend mathematical and statistical sciences, artificial intelligence, and natural sciences, primarily motivated by the challenges posed by ultra-complex datasets and scenarios in real-world scientific applications.
She is dedicated to principled theoretical and methodological innovation that addresses real-world problems, with a particular focus on benefiting the public good.
Her PhD project contributed to theoretical and methodological innovations for high-dimensional spatial stochastic processes, such as highly multivariate large-scale spatial stochastic processes, which were applied to quantifying global exposure to anthropogenic pollutants, helping to advance environmental health research and guide policy formulation.
Recently, Xiaoqing has taken a particular interest in various classes of generative models, such as diffusion, normalising flows and transformers, and in their beneficial deployment within high-stakes domains.
