Joon‐Yong Lee

The paper develops an ANN-based reduced-order model to accelerate FBA integration with RTMs, enabling efficient simulation of microbial metabolic switching in Shewanella oneidensis.

This paper introduces a de novo metaproteomics pipeline using a deep learning model to identify soil microbiome composition and functions without relying on metagenomic data.

This paper introduces a new biogeochemical modeling approach that explicitly represents organic matter thermodynamics to improve predictions of microbial degradation processes and their environmental impacts.

This paper introduces a generalizable method for estimating false discovery rates in mass spectrometry-based lipidomics to enable automated data analysis.

The paper introduces BSF, a fast pairwise similarity algorithm that filters unproductive comparisons to enable efficient data mining.