Niall Hanrahan

The paper uses machine learning to predict tobramycin susceptibility in Pseudomonas aeruginosa biofilms using multiple analytical methods, achieving high accuracy with MALDI-TOF MS and Raman spectroscopy.

This paper develops a dual anaerobic biofilm reactor to simulate offshore oilfield conditions and study microbiologically influenced corrosion mechanisms.

This paper develops a droplet microfluidics approach to produce uniform crystals and enable rapid micromixing for time-resolved serial crystallography.