Susanna X. Liu

chronODE integrates time-series multi-omics data using ordinary differential equations and machine learning to model gene and chromatin dynamics during brain development.

This paper uses wearable data and AI to identify genetic associations with psychiatric disorders by creating intermediate phenotypes from continuous physiological features.

This paper introduces a deep learning model to predict A/B compartments from histone modifications, achieving high accuracy across cell types and showing the importance of specific histone marks.