Bioinformatics; Biomedical Image Analysis; Biomedical Imaging
I have worked in three distinct research domains in my career: analytical statistical signal processing, experimental molecular imaging, and genomic data analysis. I collaborate with researchers from both academia and industry in multiple disciplines, including theoretical and applied physics, biochemistry, cell biology, molecular biology, and medicine. This multidisciplinary, cross-sector experience has given me unique skills and tools for successfully executing the goals of my laboratory.
The major projects in my laboratory are focused on quantitative biomedical image processing and analysis. I am also interested in developing end-user biomedical software. This work will build on my previous research and expand into translational research that will directly support human health.
At present, major projects in our lab are centered on developing computational methods to analyze histopathological images of the heterogeneous 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. I believe that teaching and research greatly complement each other, and I emphasize equally teaching in the classroom and guiding students in my research lab.