Scholar
Qing Zhou
Google Scholar ID: lS1d6mwAAAAJ
Professor of Statistics, UCLA
Citations & Impact
Citations
3,785
H-index
20
i10-index
32
Publications
20
Co-authors
29
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple academic papers including 'Latent Structure and Causality: Inference from Data' (2025) and 'Honest confidence sets for high-dimensional regression by projection and shrinkage' (2023). Involved in research projects related to causal discovery, Bayesian network learning, and more.
Research Experience
- Currently a Professor and Chair of Statistics and Data Science at the University of California, Los Angeles (UCLA), and a faculty member of the Graduate Program in Bioinformatics.
Background
- Research interests include causal machine learning, bioinformatics, high-dimensional statistics, and Monte Carlo methods. In causal machine learning, developing statistical and machine learning methods for causal discovery from large-scale, high-dimensional data; in bioinformatics, developing methodologies for the efficient analysis of large-scale, high-throughput genomic data; in high-dimensional statistics, interested in uncertainty quantification for regularized sparse estimators; in Monte Carlo methods, developing techniques to estimate the statistical and topological structures of a probability distribution.
