Sakshi Khaiwal

The paper quantifies mating strategies in yeast gametes, revealing a reproductive hierarchy where sibling gametes have divergent mating trajectories and temporal heterogeneity shapes compatibility.

This study reprograms yeast telomeres to human-like sequences and identifies adaptive mutations that allow survival and fitness recovery.

This study uses machine learning to predict yeast phenotypes from genotypes, finding gradient boosting machines perform best and accessory genome contributes significantly.