The research focus of the Department of Immunology encompasses clinical and transplantation immunology, immunogenetics and computational immunology, sarcoidosis, and primary immunodeficiencies. Our interdisciplinary teams integrate clinical expertise with advanced molecular technologies and data-driven approaches, including artificial intelligence, to better understand complex immune responses. Our goal is to develop innovative diagnostic strategies and predictive models, and to translate these insights into precise, personalized clinical decision-making.
We investigate transplantation immunology with modern molecular and data-driven approaches to analyze high-dimensional immunological data and develop predictive models that support precise, personalized clinical decision-making. Our work further advances diagnostic strategies and refines patient risk stratification across transplant settings.
We investigate how genetic and molecular signatures can be leveraged to quantitatively decode complex immune responses and translate them into clinically actionable insights. By integrating advanced molecular technologies with data-driven and AI-powered analytical approaches, we develop next-generation diagnostic tools and predictive models for precision immunology. A particular focus of our work is the integration of immune profiling, antibody reactivity, and systemic signatures to refine the characterization of immune-mediated conditions, with direct applications in autoimmunity, transplantation, pregnancy and clinical decision-making.
We investigate the pathophysiology of inflammatory systemic diseases, with a particular focus on sarcoidosis. By integrating clinical and molecular insights, we aim to unravel disease mechanisms and translate them into improved diagnostic precision and targeted therapeutic strategies.
We investigate the immunological mechanisms underlying primary immunodeficiencies, with the aim of improving diagnostic precision, patient stratification and treatment. By integrating clinical data with advanced molecular and genetic profiling, we seek to better understand disease heterogeneity and identify biomarkers that inform prognosis and therapeutic decision-making. Our work focuses on translating these insights into clinically actionable diagnostics and personalized management strategies for patients with inborn errors of immunity.