Research

Complex networks of transcription factors allow bacteria to adapt to changes in their environement through (i) the sensing of external signals, and (ii) corresponding gene expression responses. Despite being critical for pathogen infections, these networks are still poorly characterized, making it virtually impossible to accurately predict pathogen responses or identify key regulatory processes driving infections.

Our lab is interested in transcription factors and how they enable bacterial pathogens to adapt to changes in their environment and cause infections. To address this question, we use and develop high-throughput sequencing-based approaches to characterize transcriptional regulatory networks. Currently, our research is focused on two key bacterial pathogens: Escherichia coli and Pseudomonas aeruginosa.