Yushi Chang

Yushi Chang, PhD, is an Assistant Professor in the Department of Radiation Oncology at the University of Maryland School of Medicine, where he also serves as Associate Director of the Medical Physics Certificate Program. His academic trajectory includes foundational training in Optical Information Science and Technology (B.S., Sun Yat-sen University, 2016), specialized graduate education in Medical Physics (M.S., Duke Kunshan University, 2018; Ph.D., Duke University, 2021), and clinical residency training at the University of Pennsylvania (2023).

His research integrates artificial intelligence with clinical applications in radiation oncology. Key interests include:

• Advanced radiotherapy techniques (brachytherapy, stereotactic radiosurgery)
• AI-driven medical imaging and phantom development using generative adversarial networks (GANs)
• Radiomics for predictive modeling and treatment personalization
• Deep learning applications in real-time treatment planning and outcome prediction

Dr. Chang's publications (2019–2023) demonstrate a consistent focus on AI methodologies in medical physics, particularly deep learning and GANs for enhancing radiotherapy precision. Recent work emphasizes synthetic medical image generation, radiomics standardization, and automated treatment planning for cancers including prostate and oropharyngeal malignancies.

No scientific awards, supervised students, grants, or laboratory affiliations are documented in the provided materials.