Madeline R. Shay

This study investigates gap formation between interacting bacterial colonies using experiments and modeling, finding that nutrient competition and direct growth inhibition drive this phenomenon.

The paper develops a transfer learning framework to predict drug interactions for under-studied pathogens and validates synergistic combinations against antibiotic-resistant bacteria.

This paper introduces M2D2, a two-stage ML model that identifies synergistic antimicrobial drug combinations and validates them experimentally against E. coli.

The paper identifies metabolites that modulate epigenetic drugs by analyzing histone PTM-metabolite interactions across 600 cell lines.