Stefan Röder

Dr. Stefan Röder is a Senior Scientist and Platform Coordinator of Biobank and Data management at the Helmholtz Centre for Environmental Research – UFZ, Department of Environmental Immunology in Leipzig, Germany. With over 15 years of experience at the UFZ since 2008, his work focuses on the intersection of environmental exposures, epigenetics, and immune responses, particularly as they relate to allergic disorders and child development.

Dr. Röder's research spans epidemiology of allergic disorders, epigenetics, pattern recognition, artificial neural networks, and software development. His work particularly focuses on analyzing data from cohort studies to understand how environmental exposures during pregnancy affect child development and immune responses. He has developed specialized tools like PatternMatchR and EpiVisR for analyzing and visualizing omics data, bridging computational approaches with immunological research.

Dr. Röder's recent publications (2022-2024) demonstrate a strong focus on epigenetic mechanisms linking environmental exposures to health outcomes. His work frequently appears in high-impact journals across environmental health, immunology, and epigenetics. A significant portion of his research involves large consortium efforts like the Pregnancy and Childhood Epigenetics Consortium, examining DNA methylation patterns in relation to maternal factors, birth outcomes, and childhood diseases.

Dr. Röder has been involved in numerous research projects including "Proxies of the Eco-exposome (2018-2022)", "InCeTo (2019-2023)", "MibiTox (start: 2020)", "nanoINHALE (start: 2024)", and "SafePol (start: 2025)". His work often involves analyzing data from cohort studies and developing computational tools for epigenetic research.

Within the Environmental Immunology department, Dr. Röder works as part of a team led by Prof. Ana Zenclussen, collaborating with researchers including PD Dr. Anne Schumacher, PD Dr. Mario Bauer, and other scientists. He serves as Platform Coordinator for Biobank and Data management, indicating leadership in data infrastructure for the department.