Hang Joon Kim

The paper develops a Bayesian MCMC method to infer gene regulatory network parameters from partial observations, demonstrating its ability to estimate delays and kinetic parameters in a two-step activation model.

This paper introduces SPRUCE, a Bayesian spatial multivariate mixture model for spatial transcriptomics data, which identifies cell sub-populations while accounting for skewness and spatial correlation.