Siliang Zhang finished his Ph.D. (supervised by Prof. Zhiliang Ying) in Shanghai Center for Mathematical Sciences, Fudan University. His research aims to tackle estimation problems in the large-scale assessment. By developing new statistical modeling methods and innovative computing algorithms.

After Ph.D., Siliang is a Post Doctoral Research Officer on the project "Methods for the analysis of longitudinal dyadic data with an application to intergenerational exchanges of family support". This position is based within the Department of Statistics and is supervised by Professor Fiona Steele