Bio

Xiaoqing started her doctoral studies at The Alan Turing Institute in September 2019. She is also registered in the UKRI Centre for Doctoral Training in Environmental Intelligence: Data Science & AI for Sustainable Futures in the College of Engineering, Mathematics and Physical Sciences of the University of Exeter.

She is excited about Spatio-Temporal Modelling and Uncertainty Quantification. She’s working on a PhD project addressing the air pollution estimation problems on a global level in collaboration with the World Health Organisation (WHO) under the supervision of Professor Gavin Shaddick and Dr. Karyn Morrissey.

She gets her Master’s degree in Statistics from the University of Southampton where she did a Master project on the estimation of uncertainty of areal aggregates from point level Bayesian hierarchical spatial modelling under the supervision of Professor Sujit Sahu.

Research interests

Xiaoqing’s research interests include the theory and application of Bayesian hierarchical models and spatio-temporal modelling in environment. A major focus is developing novel data fusion methods to integrate information of global air pollution from multiple sources and quantifying relative uncertainty propagation.