Proteomics and Mass Spectrometry: Application of high-resolution mass spectrometry to characterize the renal proteome and identify molecular signatures of kidney injury and disease progression.

Biomarker Discovery and Validation: Identification and clinical translation of protein biomarkers for early detection, risk stratification, and therapeutic monitoring in chronic kidney disease (CKD).

Mechanisms of Glomerular and Tubulointerstitial Injury: Investigation of cellular and molecular pathways driving renal damage across diverse etiologies of CKD.

Translational and Precision Nephrology: Integration of omics data with clinical phenotypes to inform individualized diagnostic and prognostic 

Systems Biology and Data Integration: Use of multi-omics and bioinformatics approaches to link proteomic changes with metabolic, genomic, and clinical data.

Clinical Applications of Biomarkers: Evaluation of biomarkers for predicting outcomes and guiding interventions in patients with diabetic kidney disease, acute kidney injury, and glomerular disorders.

Collaborative and Cross-Disciplinary Science: Development of partnerships across clinical, computational, and laboratory teams to accelerate biomarker-driven innovations in kidney health.