Jonathon Romero

RWRtoolkit enables multi-omic network analysis using random walks on multiplex networks across any species, providing tools for topological analysis and statistical evaluation.

This paper develops a novel feature set and public resource for predicting CRISPR-Cas9 sgRNA efficiency using quantum chemical tensors and explainable-AI methods.

The paper uses exascale computing to generate high-resolution global geoclimate zones by clustering environmental similarity data from 71 variables over 50 years.

This study relaxes GWAS significance thresholds and uses GRIN to identify additional genes linked to suicidal behavior, which replicate across cohorts and show stronger biological connections.