After several years as a consultant in healthcare industries, I transitioned into bioinformatics in 2023 and completed a Master’s degree in Systems Biology, specializing in omics data generation and analysis. In January 2026, I will start a PhD project in the Endomic team, working on multi-omics data integration to better characterize systemic sclerosis (SSc).

My research focuses on developing data integration frameworks and using unsupervised machine learning to uncover molecular signatures, regulatory modules and hidden endotypes from heterogeneous omics datasets (e.g. genomics, transcriptomics, proteomics and metabolomics). We aim through this project to improve our understanding of SSc heterogeneity and support subtype prediction and precision medicine in systemic autoimmune diseases.