Qingyuan Zhao

Qingyuan Zhao

University Lecturer in Statistics

University of Cambridge

About

Qingyuan Zhao is a University Lecturer in the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics (DPMMS) at University of Cambridge and a Fellow of the Corpus Christi College. He is interested in improving the general quality and appraisal of statistical research, including new methodology and a better understanding of causal inference, novel study designs, sensitivity analysis, multiple testing, and selective inference.

Interests

  • Causal inference
  • High-dimensional inference
  • Applied statistics

Education

  • PhD in Statistics, 2016

    Stanford University

  • BSc in Mathematics, 2011

    University of Science and Technology of China (USTC)

News

  • If you have applied statistics questions, you might be interested in the Statistics Clinic that offers free consulting to University members. I am a regular consultant in the Clinic.
  • Rajen Shah and I are currently running a reading group in causal inference. You can join us by subscribing to the statslab-causal mailing list. When submitting your request, please tell me your name and affiliation.

Recent talks

Mendelian randomization: Old and new insights
Mendelian randomization: Old and new insights
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic

Contact

  • qyzhao@statslab.cam.ac.uk
  • Centre for Mathematical Sciences, Wilberforce Road, Cambridge, CB3 0WB
  • Pavillion D – Room D1.01