Research
Areas of Focus
Translational renal pathology — from the diagnostic classification of glomerular lesions to machine-learning systems that augment the renal biopsy workflow.
01
Glomerular & Renal Pathology
Diagnostic classification and clinicopathologic study of glomerular lesions, integrating light microscopy, immunofluorescence, and electron microscopy with clinical outcomes.
Representative topics
- Membranous nephropathy (PLA2R / NELL-1)
- Ultrastructural (EM) podocyte injury
- Renal biopsy interpretation & risk stratification
02
Immune- & Infection-Related Glomerular Disease
Immune-mediated and infection-associated glomerular injury — characterizing serologic and morphologic phenotypes across lupus nephritis, ANCA-associated vasculitis, and IgA nephropathy.
Representative topics
- ANCA-associated vasculitis — classification & outcomes
- Lupus nephritis & pediatric ANCA phenotypes
- IgA nephropathy with podocytopathic lesions
03
AI & Machine Learning in Renal Pathology
Computational pathology applied to the kidney — glomerular detection and segmentation, prognostic modeling, and multimodal approaches that augment the diagnostic workflow.
Representative topics
- Glomerular detection & segmentation
- Prognosis & treatment-response prediction
- Whole-slide image & multimodal analysis