Research

My research investigates how physiological, pathophysiological, and environmental stressors reshape metabolism, immunity, and cross-organ communication to influence adaptation, injury, and recovery. By integrating molecular and physiological studies with multi-omics and computational approaches, I aim to uncover mechanisms of disease and identify therapeutic strategies that promote recovery and restore health.

I am also interested in developing innovative computational tools and accessible data resources that enable researchers to explore complex biological datasets and accelerate discovery.

KidneyMet.Flux

I am developing KidneyMet.Flux, a free and openly accessible platform that integrates kidney bulk RNA-seq, single-cell RNA-seq, and metabolomics datasets from published studies into a unified, analysis-ready resource.

KidneyMet.Flux is designed to make complex datasets easier to explore, compare, and interpret across studies, helping researchers generate new hypotheses and uncover mechanisms of kidney biology and disease without having to independently process each dataset from scratch.

The platform is continuously evolving, and I welcome suggestions for datasets, analytical features, or other resources that would be valuable to the kidney research community. If you would like access to analyzed files from datasets included in KidneyMet.Flux, or would like to discuss data analysis or potential collaborations, please contact me at rtiwari@usf.edu. I would be happy to share the files and help with data analysis.