Hengshi Yu, BS, MS

• MS Biostatistics, Duke University (2017)
• BS Statistics; B.L. International Economic Law, Shanghai University of Finance and Economics (2015)

My research interest focuses on the areas of causal inference and statistical learning. Originally trained as a mathematician, I developed a strong interest in the interplay between stochastic modeling and semi-parametric statistics. The area of causal inference draws me with many well-built theoretical properties and different practical applications in clinic trials and observational studies. A recent focus of my research is on using statistical learning tools to build probabilistic models for single-cell research.

• Gallis, J. A., Li, F., Yu, H., & Turner, E. L. (2018). cvcrand and cptest: Commands for efficient design and analysis of cluster randomized trials using constrained randomization and permutation tests. The Stata Journal, 18(2), 357-378.