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 and building novel biomedical instruments, e.g., handheld devices that will allow noninvasive microscopic and tomographic optical imaging. This work will build on my previous research and expand into translational research that will directly support human health. My laboratory’s broad goal is to decipher meaningful information from anatomical structures and their pathologic conditions and connect them with molecular information to gain a better understanding of biological processes and disease. We focus on developing novel quantitative image processing and analysis methods, incorporating physical as well as statistical information of biological structures and their associated functional genomic information. Using statistical analysis, we have shown that our methods perform significantly better than existing ones. Existing methods in biomedicine typically do not employ both physical and statistical parameters associated with the imaging object and imaging system--and their environmental factors--while analyzing data. Thus, the results are often error-prone. By uniquely utilizing concrete physical and statistical modeling of the measurement data, our goal is to provide a more realistic profile and interpretation of complex biological systems and diseases. This, in turn, will provide new insights into diseases and improve disease diagnosis.