I am an NLP Scientist at the National Board of Medical Examiners (NBME), where I focus on the intersection of AI/NLP and medical assessment. In this role, I contribute to research on automated scoring, aiming to enhance the efficiency of standardized testing methods, and I explore how NLP can improve patient-provider communication scoring and item generation.

Prior to joining NBME, I completed my PhD in Computer Science at the University of Georgia under the supervision of Professor Sheng Li. During my doctoral studies and multiple internships (Adobe, Reuters, etc.), my research centered on enhancing machine comprehension of data by integrating auxiliary knowledge.

Outside of professional activities, I enjoy playing the setar and capturing moments through street photography.