Our focus is on developing non-invasive tools based on optical principles for disease diagnosis. This area is highly application-oriented, while at the same time deeply involved in the basic sciences. Using the physics of light-tissue interaction, we try to extract the chemical composition and architecture of the target tissue to understand the biology of tissue transformation during the progression of diseases. We do simulations for optimal device design, instrumentation, and experimentation at research and clinical application levels. Most projects involve large-scale data analysis and interpretation using machine learning/deep learning techniques. The focus is developing clinically viable non-invasive portable units for conveniently sensing physiological conditions. For more details on our research, please view our publications.