Conor Klamann

The paper develops a scalable platform for designing exon-skipping ASOs to treat genetic diseases by identifying dispensable exons and validating their therapeutic potential.

STARLING quantifies cell populations from spatial protein expression data while accounting for segmentation errors, identifying known cell types and quantifying heterogeneity in human tonsil tissue.

The paper introduces OSMP, a tool for one-sided genomic matchmaking in rare disease patients, which efficiently filters variant occurrences to prioritize clinically relevant matches.

TooManyCellsInteractive provides an interactive visualization tool for exploring large single-cell datasets and identifies survival pathways in drug-tolerant persister cells across cancers.