Specialization
I integrate experimental and computational genomics to study transcriptional and epigenetic regulation in complex tissues. My expertise spans genome-wide assays such as ChIP-seq, ATAC-seq, RNA-seq, and CRISPR-based perturbation screens (CROP-seq), with a strong focus on single-cell and spatial transcriptomic and epigenomic profiling. I develop and apply reproducible multi-omics workflows in R and Python, supported by high-performance computing, to dissect cellular heterogeneity and regulatory mechanisms in cardiometabolic disease.
Focus of research
My research explores how transcriptional and epigenetic mechanisms regulate cellular states in cardiometabolic disease. I study how immune and stromal cells communicate and adapt within inflamed metabolic tissues, and how these interactions drive systemic dysfunction in e.g., obesity, MASLD, and atherosclerosis.
Using bulk, single-cell, and spatial transcriptomics and epigenomics, I map disease-associated cell states and the underlying transcriptional and epigenetic regulatory networks. By integrating these datasets with functional perturbation and computational modeling, I aim to uncover how chromatin dynamics and signaling pathways coordinate inflammation and metabolism across tissues.
I apply these multi-omics approaches to large patient cohorts to better understand, predict, and ultimately target inflammatory processes driving cardiometabolic disease.