Nikhil P. Krishnan

AutoWrinkleID is a machine learning pipeline for automated biofilm wrinkle detection and quantification, showing that motility-based annotations outperform manual and constitutive fluorescence annotations.

This study correlates genetic expression and electrochemical activity in Bacillus subtilis biofilms, showing electrochemical activity is present in biofilm-forming cells but not in biofilm-deficient mutants.

This paper introduces a new metric, edge flip fraction, to compare fitness landscapes and shows it predicts evolutionary trajectories and drug sequence optimality.