Daniel Yang

Daniel Yang, M.D., is an Assistant Professor of Radiation Oncology at UT Southwestern Medical Center, specializing in genitourinary cancers. He completed his medical degree at Yale School of Medicine and residencies at Harvard Medical School and Yale New Haven Hospital. His research focuses on machine learning applications in oncology data quality, clinical informatics, and improving cancer care through real-world data analysis. Dr. Yang has received the ASCO Young Investigator Award for his work on clinical data quality during residency.

• Education: B.S. Bioengineering, UC Berkeley; M.D., Yale School of Medicine
• Fellowships: HHMI Research Fellow (Dana-Farber Cancer Institute), Leadership Innovation Fellow (Yale Center for Biomedical Innovation)

His research explores AI-driven solutions for radiation therapy optimization, including adaptive radiotherapy planning and AI segmentation tools. Notable contributions include studies on prostate cancer management, stereotactic ablative radiotherapy (SAbR), and mitigating biases in clinical decision-making. He leads initiatives to integrate large language models (LLMs) for patient consent forms and clinical trial matching.

Recent articles highlight advancements in AI for medical physics, radiation pneumonitis prediction, and prostate cancer dosimetry. His work emphasizes ethical AI applications and healthcare equity in oncology practices.