single-cell

Computational Molecular Medicine

Single-cell multi-omics data present unique challenges. Our lab combines advanced computational methods with high-dimensional biological data to uncover mechanisms of disease, with a particular emphasis on cancer and metabolic disorders.

Quantitative Imaging in Oncology

High-dimensional imaging datasets pose significant challenges in quantification and interpretation. Our lab applies quantitative imaging, from multiplex confocal microscopy to imaging flow cytometry, to convert biological images into precise, spatially resolved measurements that retain each cell’s location, phenotype, and interactions.

Computational single-cell biology

Tools and algorithms for the analysis of single-cell data