Ongoing projects

Mapping Disease Mechanisms Through Multi-Omics Analysis and Computational Models

By leveraging multi-omics data and developing advanced computational tools, including machine learning, we build tissue- and cell-specific metabolic network models to uncover biological mechanisms in a context- and condition-specific manner. Our ultimate goal is to identify druggable targets and predictive biomarkers for complex diseases, with a strong focus on neurodegenerative disorders and gene–environment interactions.

Studying gut-liver-brain axis for insights into neurotoxicity and neurodegeneration

Investigating the complex interactions within the gut–liver–brain axis to uncover how systemic and environmental factors contribute to neurotoxicity and neurodegeneration. Our systems-level approach helps us identify early biomarkers, vulnerable metabolic networks, and potential therapeutic targets involved in diseases such as Alzheimer’s and Parkinson’s, particularly in the context of toxicant exposure and chronic inflammation.