Shaine Chenxin Bao

This study identifies latent regulatory programs from disease-associated variants to reveal biological mechanisms and clinical subtypes in complex diseases.

This study compares sixteen iPSC-CM differentiation protocols to identify how protocol-dependent cell states affect disease modeling capacity for cardiovascular conditions.

This paper introduces a consensus clustering method to identify robust signals from high-throughput screens by analyzing multi-scale data organization in cancer cell lines and bacterium models.

The paper develops a resource to improve cardiac modelling protocols using hPSC-CMs by analyzing decades of research data and providing tools for protocol benchmarking.