Evolutionary Medical Genomics Researchers

The scientific and technical objectives of the network are to model evolutionary mechanisms underlying disease progression and treatment resistance using data-driven and theoretical approaches, to develop AI and machine learning tools tailored to predict genomic evolution in clinical and ecological contexts, to investigate inter-individual and inter-species genomic variation using high-throughput sequencing and comparative genomics, to build statistical and mathematical frameworks that capture evolutionary dynamics in pathogens, somatic cells, and immune systems, to design integrative pipelines that combine multi-omics data, phenotypic information, and environmental variables to reveal actionable insights, and to produce evolution-informed therapeutic strategies through translational collaboration with clinical and industrial partners. Each objective is addressed through a co-designed network of individual projects, secondments, and shared methodologies, enabling not only scientific advancement but also the integration of complementary approaches from evolutionary biology and medical genomics.