About

Xiaoqing is a Research Associate at The Alan Turing Institute. Her current research focuses on designing rigorous mathematical and statistical methods that underpin responsible generative AI.

She completed her PhD 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 applications.

She is dedicated to developing responsible and innovative theories and methodologies that address real-world problems, with a particular focus on benefiting the public good, both in local communities and globally.

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.

Additionally, Xiaoqing is passionate about education and was an experienced educator before her PhD studies.