Bartek P. Rajwa

This paper introduces an optimal transport-based framework for visualizing high-parameter flow cytometry data, providing biologically consistent layouts and enabling quantitative analysis of population changes.

The paper introduces a statistical framework using mean average precision (mAP) to evaluate phenotypic activity and consistency in high-dimensional profiling data across various modalities and perturbation types.

This paper uses spectral flow cytometry to detect antibiotic-resistant bacteria by analyzing autofluorescence signatures, showing differences between resistant and susceptible strains.