Xin is a Senior Systems Software Engineer at NVIDIA Corporation. Xin has primarily focused on parallel computing, concurrency technology, and AI-enhanced systems, significantly advancing computational efficiency and design. She is an expert in Machine Learning, Artificial Intelligence, and Software Development.

She holds dual Master's degrees in Electrical & Computer Engineering and Data Science from the University of Michigan. During her time there, she served as a Graduate Student Instructor for the Computer Vision course and was recognized as the Outstanding Data Science Master's student. 

Her previous research at the University of Michigan - Dearborn, particularly focused on stress detection using physiological signals for driver assistance systems, has been widely recognized and cited for its significant impact on real-world AI applications.

In addition to her technical work, Xin is actively involved in the academic and professional community. Her roles as a judge in various technological and innovation awards, such as the Globee® Awards for Disruptors and Technology, Technovation Girls, and various hackathons focusing on AI, underscore her commitment to fostering innovation and mentorship in the field.