Scholar
Qingyuan Zhao
Google Scholar ID: NTpfnyoAAAAJ
University of Cambridge
Citations & Impact
Citations
6,378
H-index
26
i10-index
33
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Recent talks include topics such as Acyclic Directed Mixed Graphs: Matrix Algebra, Statistical Models, Confounder Selection; Selective Randomization Inference for Adaptive Experiments; On statistical and causal models associated with acyclic directed mixed graphs.
Research Experience
- Co-organizing a long-residency program on causal inference at the Isaac Newton Institute from January to June, 2026; Regular consultant at the Statistics Clinic offering free consulting to University members; Hosts the weekly Online Causal Inference Seminar.
Education
- PhD in Statistics from Stanford University in 2016; BSc in Mathematics from the University of Science and Technology of China (USTC) in 2011.
Background
- Professor of Statistics at the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics (DPMMS) at the University of Cambridge. His research interests lie in drawing scientific conclusions about causal relationships using experimental and observational data, an area known as 'causal inference'. He is also interested in understanding how 'design' shapes the practice of statistical applications in biomedical and social sciences.
Miscellany
- Interested individuals can join the weekly Online Causal Inference Seminar.
Co-authors