Cancer genome and Immune system regulation

Our lab focuses on studying genome regulation in cancer and immune diseases by integrating computational and experimental approaches. We utilize biological assays and computational models to identify novel pathways, new host-pathogen interactions and regulatory noncoding RNAs (e.g. enhancer RNAs and circular RNAs) that could trigger disease. 

We are exploiting high throughput sequencing data (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C) using machine learning tools to guide experiments.

Positions are available (Immunology, Virology, Computer Science)