Team Immuno-metabolic reprogramming during viral infection

Research Questions:

• What universal immunometabolic signatures define vulnerability, resilience, healthy aging, and viral persistence across diverse infections?

• How can multi-omics and spatial systems biology reveal hidden biological mechanisms that drive severe disease or long-term health?

• How do cutting-edge platforms e.g. super-resolution microscopy, organ-on-chip, and spatial multi-omics, reshape our understanding of host–virus interactions?

• How can AI-driven models integrate molecular, clinical, and demographic data to enable truly personalized medicine in infectious diseases?

• What shared principles emerge across viral pathogenesis, aging biology, and persistent infection and how can discoveries in one area accelerate breakthroughs in another?

Vision & Impact

Our vision is to transform the way we understand, diagnose, and treat complex viral and immune-mediated diseases through cutting-edge science that bridges fundamental biology with real-world clinical impact. By integrating virus research conducted in advanced BSL-3 and BSL-4 facilities with the power of multi-omics, systems biology, and next-generation experimental platforms, we aim to redefine what is possible in modern biomedical research.

We combine comprehensive multi-layered omics approaches, including transcriptomics, proteomics, metabolomics, and spatial multi-omics, with advanced computational modeling to map cellular systems in unprecedented detail. This deep, holistic understanding of host–pathogen interactions fuels our commitment to personalized medicine in infectious diseases, enabling the identification of individual disease signatures and the development of targeted therapeutic strategies.

Our work is driven by the integration of state-of-the-art technologies such as super-resolution microscopy, which allows nanoscale visualization of viral and immune processes; organ-on-chip systems, which recreate physiologically relevant human microenvironments; and spatial multi-omics, which unravels tissue organization and molecular activity within intact biological structures. These techniques, combined with systems-level modeling and AI-enhanced analytics, allow us to uncover mechanisms that remain invisible to traditional approaches.

Through this multidisciplinary vision, we strive to generate scientific insights that not only advance our understanding of the infectious diseases phenotypes at the molecular and cellular level but also deliver meaningful health outcomes, empowering clinicians, informing public health, and supporting the development of next-generation diagnostics and therapeutics.