Katherine E. Duncker

This paper introduces a method using microbial consortia and computational models to decode complex signals and predict input concentrations from microbial community responses.

This paper develops a foundation model for microbial growth dynamics using self-supervised learning on diverse datasets, enabling accurate reconstruction and prediction of growth patterns and antibiotic responses.

The paper introduces a cell-free platform for assembling protein glycosylation pathways and demonstrates its use in creating vaccine proteins and antibody constant regions with specific glycan motifs.