Lukas Adam

This paper creates a human endoderm organoid cell atlas by integrating single-cell transcriptomes from multiple organoid types to compare cell states with primary tissues and disease models.

This study develops human intestinal immuno-organoids (IIOs) that integrate tissue-resident immune cells, enabling the study of intestinal inflammation and immune responses in disease contexts.

This study uses time-resolved RNA sequencing and mathematical modeling to analyze SARS-CoV-2 host cell interactions, revealing transcriptional dynamics and identifying druggable host pathways.

The paper introduces a hybrid model combining matrix factorization and variational autoencoders to infer gene sets from scRNA-seq data, correcting batch effects and identifying cell types.