We develop computational algorithms to study cell structure and function across cultures, tissues, and species.  The result of our study allows translation of findings from cell culture systems to animal model systems, as well as from animal model systems to human systems.  For our studies, we employ modern artificial intelligence tools to analyze images of cell structures captured via optical microscopy.  In our analysis, we develop computational approach of data dimensionality reduction that describes important optical cell structural features.  We also investigate the extent to which reduced data dimensions estimate cellular structural similarity across cultures, tissues, and species.  At present application of our tools primarily focuses on studying renal cell biology of murine and human systems.
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.