His lab utilizes large-scale, multi-dimensional data from epidemiological studies and human biobanks, including genomics, transcriptomics, proteomics, and imaging. They apply bioinformatic tools to develop precise and personalized preventive strategies, focusing specifically on atherosclerosis, which is one of the most common causes of cardiovascular disease and stroke.

“The combination of multiomics and deep phenotyping allows us to discover new therapeutic targets and risk biomarkers associated with stroke-related conditions. We are eager to share our expertise in molecular epidemiology and data science, along with unique human omics datasets from a biobank of carotid atherosclerosis, with the Synergy community,” explains Georgakis. “I'm excited about the potential of interdisciplinary collaborations with basic scientists, clinical experts, and computational biologists!”

Early Excellence Academy

SyNergy has established an "Early Excellence Academy" to provide exceptional young scientists with opportunities for collaboration and active participation within the SyNergy cluster. To be admitted, candidates must have received prestigious awards such as the ERC Starting Grant, the Emmy Noether Programme, the Sofja Kovalevskaja Award, or similar honors, along with a research focus that aligns with the goals of the SyNergy cluster.