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Luxembourg Institute of Health

Luxembourg Institute of Health

Team Leader

Petr Nazarov (PhD)

Head of Unit
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Team Staff

Reka Toth (PhD)

Principal Investigator
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Vladimir Despotovic (PhD)

Researcher
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Lu Zhang (MSc)

Bioinformatician
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Sang-Yoon KIM (MSc)

Bioinformatician
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Irina CARPUSCA (PhD)

Grant Office Team Lead
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Corrado Ameli (PhD)

Postdoctoral Fellow, Multiomics Data Science
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About LIH

The Luxembourg Institute of Health (LIH) is a public biomedical research organization with a strong focus on precision health and patient-centric research, striving to become a leading European reference center for translating scientific results into tangible patient benefits. LIH’s commitment to high-quality research is reflected in its investment in cutting-edge laboratories and advanced technology platforms, as well as strong statistical methodology, bioinformatics, and AI pipelines.

Within LIH, the Bioinformatics and AI Unit (BioAI) specializes in the advanced analysis and integration of multi-modal biological and health data. The group is at the forefront of developing bioinformatics methodologies, including methods for analyzing various omics data, as well as AI-driven approaches including machine learning, deep learning, and language models. BioAI provides computational expertise, supports research projects, builds analysis pipelines, and trains young scientists, ensuring state-of-the-art bioinformatics capabilities.

In MARKOPOLO, BioAI will lead the bioinformatics and integrative analysis efforts (WP11-13), setting standards for multi-omics data harmonization to maintain data integrity across project partners. By analyzing existing and newly generated omics, exposome, and clinical data, the team will identify key molecular markers and pathways linked to pollution exposure. Through the integration of multi-omics layers, BioAI will construct an exposome-disease map, providing novel insights into the molecular effects of environmental pollutants. In collaboration with Syddansk Universitet (SDU), it will finalize omics analyses, develop mechanistic models linking the exposome to cardiovascular and neurological diseases, and create an integrated risk assessment tool to predict high-risk areas, ultimately supporting public health strategies and policy decisions.

Contact

Luxembourg Institute of Health
Department of Medical Informatics
1AB rue Thomas Edison
L-1445, Strassen
Luxembourg
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