Computational prediction of bacterial susceptibility to phages and genomic signatures of phage-bacteria coevolution.
Integrative machine learning to predict AMR and characterize pathogen genomics across clinical and environmental contexts.
Characterizing protein families and (patho)genomic features using molecular evolution and phylogenetics, and the MolEvolvR web application.
Computational approaches to study host responses to infection and identify host-directed therapeutic interventions.