My research interests lie broadly in deep learning, computational biology, natural language processing and statistics. More specifically, I am interested in deep generative models, representation learning and causal inference. I am also interested in research questions that arise in single-cell genomics.

Research Papers:

Open source software:

• Yu, H., Li, F., Gallis, J. A., & Turner, E. L. (2019). cvcrand: A Package for Covariate-constrained Randomization and the Clustered Permutation Test for Cluster Randomized Trials. R Journal, 9(2). [paper] / [R package] / [Tutorial]

• 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. [paper]

Talks:

• Efficient Design and Analysis of Cluster Randomized Trials, Joint Statistical Meetings, Vancouver, Canada, 2018. [Slides]