I am a Ph.D. student at the Division of Data Science in Biomedicine at TU Braunschweig, with a background in bioinformatics from the University of Tübingen. During my master’s thesis, I developed a model for classifying 3D-CT scans of pelvis fractures, which proved beneficial in assisting physicians to choose the most suitable surgical intervention. At present, I am actively engaged in the NetfLID project, collaborating with TU Munich and Medizinische Hochschule Hannover, where we study the long-term effects of viral infections. My research primarily revolves around analyzing multiomics data in patients with viral diseases, with a special focus on Hepatitis C. To delve deeper into the complexities of the data, I employ graph modeling and machine learning analysis to integrate and analyze patient-specific graphs. This approach allows me to extract valuable insights into the intricate relationships within the data. Overall, my work centers on the intersection of data science and biomedicine, with the ultimate goal of advancing our understanding of viral diseases and improving patient outcomes.