Prior to my role at the University of Glasgow, I was a Departmental Postdoctoral Fellow in the Department of Statistical Sciences at the University of Toronto, where I worked with Dr. Nancy Reid and Dr. Qiang Sun. I got my PhD from the Department of Statistics at the University of British Columbia, under the supervision of Dr. Jiahua Chen.

My personal webpage: https://gozhang.github.io/.

 I am broadly interested in the theoretical and methodological aspects of Statistics. My current research centres on problems related to data integration and distribution shift. In particular, I study how to make efficient inferences using data collected from multiple sources, where the underlying populations are interconnected and share a common latent structure. A substantial part of my work focuses on inference under a semiparametric model known as the Density Ratio Model, which is closely related to biased sampling, exponential tilting, and proportional likelihood ratio models. I also work on nonparametric methods such as Empirical Likelihood.

Beyond these areas, I have a strong interest in causal inference and in the statistical aspects of machine learning, with a particular focus on transfer learning and related challenges involving distributional shift.

Research groups

• Statistics & data analytics
• Nonparametric & semi-parametric statistics
• Machine learning & AI

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Prior publications