Graduate Research Assistant
Mentor: Dr. Ching-Long Lin
My research is mainly about discovering potential phenotypes of lung diseases or subgroups of patients with lung diseases, and then simulating airflow different diseased lungs. We apply digital image processing, deep learning techniques, and big data analytics on cohorts with large amount of computed tomography (CT) images to search for possible phenotypes or subgroups. With computational fluid dynamics (CFD), we are able to simulate the airflow in the lungs, hoping to provide guidance for the doctors to customize treatments for different phenotypes or subgroups and help the patients to better manage their disease. The topics that we are currently working on are Chronic Obstructive Pulmonary Disease (COPD) and Humidifier Disinfectant-associated Lung Injuries (HDLI).