Helena Friesen

The paper uses high-content imaging and machine learning to study how perturbing essential genes affects subcellular organization in yeast, revealing cascade effects and a threshold for cell death.

PIFiA is a self-supervised method for protein functional annotation from single-cell imaging data, outperforming existing approaches and enabling downstream analysis of protein organization.

This study uses single-cell imaging to analyze protein dynamics in response to paralog deletion, revealing mechanisms of gene retention and functional divergence.

The paper develops YETI, a yeast library with inducible gene expression, and shows low native expression can bias promoter-perturbing screens.