Marina Pozhidaeva

Marina Pozhidaeva is a Researcher at the Department of Computational Biology & Chemistry, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany. Her work focuses on multi-omics data integration for chemical risk assessment, biological network approaches, and toxicological data interoperability.

• Education: Pursuing B.Sc. in Health Informatics at Deggendorf Institute of Technology (2021–present)
• Prior training: Advanced Training in NGS-data analysis (2023) and Chemistry of Biological Systems (2021)
• Research themes: Chemical risk assessment, systems toxicology, and environmental data integration

The department develops computational tools like uap for reproducible data analysis, deepFPlearn for AI-driven chemical-effect predictions, and multiGSEA for multi-omics pathway enrichment. Marina contributes to projects such as XomeTox, which evaluates multi-omics integration for toxicity assessment.

Her 2024 publication on thyroid toxicity highlights her work in applying multi-omics frameworks to understand chemical effects. The team also collaborates on broader initiatives like nanoINHALE (2024) and SafePol (2025), addressing environmental health risks through computational methods.