My research is dedicated to improving diagnostic radiology by combining machine learning with advanced imaging techniques. With a background in engineering and mathematics, I work on creating solutions that enhance diagnostic accuracy, predict disease outcomes, and ultimately improve patient care. A key focus of my work is identifying biomarkers for knee osteoarthritis that could help predict how the disease will progress and possibly reduce the need for knee replacement surgeries. I use clinical data, deep learning algorithms, and multi-modal imaging methods to develop better tools for diagnosing and monitoring osteoarthritis.