Research at the Interface of Biology, Medicine, and Data Science
DQBM brings together clinical research, wet-lab experimentation, and computational modeling to address complex biomedical problems. While individual groups may emphasize different approaches, all combine elements of molecular biology, patient data, and data-driven analysis in their work. Learn more about our research groups and their areas of expertise.
Many projects start with clinical data – from patient samples to high-dimensional imaging – which are analyzed using advanced computational tools. These insights guide targeted experiments in the lab, feeding back into clinical understanding and creating a continuous loop of discovery.
Our research is inherently interdisciplinary, aiming to translate between molecular mechanisms and clinical application. The result is science that is integrative, collaborative, and oriented toward impact in medicine. Discover some of our ongoing collaborative projects that exemplify this approach.