Gábor Závodszky

My research focuses on the interdisciplinary domain of high-performance multi-scale models, with the primary applications derived from the context of biomedical research. My overall strategy builds on three pillars:

 (I) high-performance computing,
 (II) fundamental biomedicine,
 (III) clinical applications.

These are applied in strong synergy to unlock answers that are not possible in a single-domain view. The application of high-performance computing techniques allows fundamental investigations (such as cellular-scale mechanisms) in extreme detail. These complement the capabilities of experimental methods and allow access to detail that is not possible with the current measurement technologies. Multi-scale computational methods enable the transfer of knowledge from fundamental research towards clinical applications. In both cases the high-performance computing techniques provide the necessary means to design and build achievable (optimal in performance and energy usage) and actionable (verified, validated, and uncertainty quantified) solutions. I develop these methods primarily within the context of the Digital Human Twin (aka. Virtual Human), while most methods are tranferrable to a wider range of the upcoming Digital Twins.

Recent projects

   ThromboRisk - (EU MSCA, PI, 2025)    Vacular Immunology (Co-PI, 2025)    MMD Impulse grant (Co-PI, 2024)    GEMINI - (EU Horizon, Co-PI, WP leader, 2024)    CompBioMed - (EU Horizon, Co-PI, WP leader, 2020)