Chris Siu Yeung Chow

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 study shows how metabolic culture conditions affect cardiomyocyte maturation and sensitivity to ischaemia-reperfusion injury using hiPSC-CMs.

The paper shows that inhibiting contractile function in cardiomyocytes reactivates the cell cycle, suggesting active contraction maintains differentiation and cell cycle arrest.

The paper identifies regions of the human genome under cellular constraint by analyzing chromatin accessibility across cell types, showing their predictive power for functional loci and applications in variant identification and drug discovery.

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.