Kiseok Keith Lee

This study links enzyme sequence variation to functional responses in microbial ecosystems using nitrate reductase as a model, showing predictable sequence-to-activity relationships.

This paper introduces a neural-network based method to identify functional groups in microbiomes, showing it can distill complex communities into few groups that explain community function across different environments.

The paper uses microcosm experiments and modeling to identify three functional regimes governing soil microbiome responses to pH changes, revealing distinct metabolic dynamics and underlying mechanisms.

This study uses community-function landscapes to design synthetic microbial consortia for BPA degradation, showing that toxicity increases epistasis and enables predictable bioremediation.

The paper designs a synthetic microbiome that suppresses gut pathogens using a statistical approach, showing it effectively clears Kp-MH258 in multiple environments.