Thomas Hillerton

GeneSNAKE is a Python package that simulates gene regulatory networks and perturbation-induced expression data for benchmarking, offering control over network properties and noise models.

This paper introduces a PPI prior to guide autoencoder embeddings, improving biological coherence and downstream task performance in multi-omic data.

The paper develops an explainable deep learning framework to predict health scores from blood DNA methylation, showing strong predictive accuracy and alignment with biological processes.