Łukasz Koperski

The paper introduces FACTMx, a variational framework that jointly models structured and simple patient-level data to learn interpretable representations, showing improved performance in simulations and applications to cancer and cardiovascular cohorts.

Celloscope deconvolves cell types in spatial transcriptomics data using marker genes, outperforming existing methods and accurately identifying brain structures and immune infiltrates.