applied-bioinformatics

Quantitative imaging in oncology uses advanced microscopy, image analysis, and machine learning to study cancer in unprecedented detail. By extracting rich spatial and molecular information from tissues, we aim to better understand how tumors grow, respond to treatments, and interact with their surroundings.

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.