At present, major projects in our lab are centered on developing computational methods to analyze histopathological images of the heterogenous renal microscopic architecture.  Using the developed computational tools, we are expecting to unearth early digital biomarkers of diabetic nephropathy (DN).  Tools derived in our projects will allow modeling of clinical outcomes, such as end-stage renal disease and death, for DN patients and will also provide clinicians with invaluable information about their patient's expected disease trajectory and progression.
Our laboratory is woven strongly into the Department of Pathology and Anatomical Sciences' innovative research and teaching directions that integrate anatomy, pathology, and data analysis.  Departmental faculty members participate in both graduate biomedical and medical programs; as part of that effort, I seek motivated trainees/students to work in my research group to focus on our novel research direction.