Shufei Ge

The paper introduces a Bayesian method for estimating population-level brain connectivity from small samples, showing improved accuracy over existing methods in simulations and real data.

The paper develops an analytical framework to characterize transcriptomic variation in a high-risk topological branch of Alzheimer's disease and introduces Lorentz t-SNE for hyperbolic visualization of transcriptomic data.

This paper introduces a method to estimate genetic similarity matrices using phylogenetic trees, showing consistency with genotype-based matrices and enabling analysis without genotype data.