Daniel Yang

Daniel Yang, M.D., is an Assistant Professor in Radiation Oncology at UT Southwestern Medical Center, specializing in genitourinary cancers and machine learning applications in clinical oncology. He completed his medical degree at Yale School of Medicine, residency in radiation oncology at Yale New Haven Hospital, and served as chief resident. His research focuses on clinical informatics and improving cancer care through real-world data analysis.

Education & Training

• B.S. in Bioengineering, University of California, Berkeley
• M.D., Yale School of Medicine
• HHMI Research Fellow, Dana-Farber Cancer Institute/Harvard Medical School
• Leadership Innovation Fellow, Yale Center for Biomedical Innovation and Technology
• Radiation Oncology Residency, Yale New Haven Hospital

Research Highlights

Dr. Yang's work combines radiation oncology with machine learning, focusing on:

• Advancing clinical data quality via AI
• Assessing adversarial image robustness in oncology diagnostics
• Optimizing stereotactic radiotherapy for kidney cancer
• Analyzing real-world cancer care trends

Scientific Awards

• ASCO Young Investigator Award

Publications Trend

Recent publications emphasize:

• AI integration in radiation oncology
• Adverse event prediction models
• Health policy implications of opioid prescribing
• Data quality challenges in cancer databases
• Personalized radiation therapy approaches