Students
Prospective Students
My research focuses on statistical methodology and theory, particularly semiparametric and nonparametric inference, the density ratio model, and empirical likelihood, with an emphasis on problems involving data integration, distribution shift, and causal inference.
I welcome enquiries from prospective PhD and research students interested in working with me. Please email me with your CV, academic transcript, and a brief description of your research interests or proposed research ideas. Prospective students are encouraged to get in touch before submitting a formal application.
Funded PhD Opportunities
PhD Opportunity (September 2027)
Project: AI-Enabled Quantification and Communication of Decision-Relevant Environmental Uncertainty
This project, funded through the ExaGEO programme at the University of Glasgow, will explore statistical, machine learning, and AI approaches to uncertainty quantification and communication in environmental systems, with a particular focus on decision-relevant uncertainty.
- Supervisory Team: Dr Archer Gong Zhang, Dr Faiza Samreen (UKCEH), Dr Andrew Elliott, and Prof Marian Scott.
- In Collaboration With: Dr Heather Price, University of Stirling.
- Start Date: September 2027.
- Funding: Available for both UK and international students.
- Further Information: Application information.
Current Students
Zhiwei Nie (PhD, University of Glasgow, 2026–Present)
- Co-supervised with Dr Mu Niu.
Former Research Students
Ruixue Zhao (Undergraduate Research, University of Glasgow, Summer 2026)
- Co-supervised with Dr Benn Macdonald.
Amanda Ng (Undergraduate Research, University of Toronto, Summers 2024 and 2025)
- Research: Robust Regression with Student’s t-Errors.
- Co-supervised with Prof Nancy Reid.
- Research Output: Robust Regression with Student’s T: The Role of Degrees of Freedom (Under revision).
Shangkai Zhu (Undergraduate Research, University of Toronto, Summer 2024)
- Research: Aspects of Robust Regression Analysis.
- Co-supervised with Prof Nancy Reid.
- Research Output: Robust Regression with Student’s T: The Role of Degrees of Freedom (Under revision).