Dan Nguyen

Dan Nguyen is a faculty member in the Department of Radiation Oncology at the University of Texas Southwestern Medical Center, affiliated with the Division of Medical Physics and Engineering. He holds a Ph.D. in Biomedical Physics from UCLA (2017) and is a founding member of the MAIA Laboratory, focusing on applying artificial intelligence to enhance clinical care in radiotherapy. His expertise spans radiation therapy treatment planning, optimization algorithms, and deep learning applications in medical imaging and outcome prediction. Dr. Nguyen collaborates closely with Dr. Steve Jiang on AI-driven solutions for radiotherapy challenges, including dose prediction and adaptive planning.

Education: Ph.D. in Biomedical Physics, University of California Los Angeles (2017). Research Interests: Radiation therapy optimization, deep learning for medical imaging, AI in healthcare, and treatment planning algorithms. He leads the MAIA Laboratory, dedicated to innovating AI technologies for clinicians, particularly in resource-limited settings.

• Key Projects: Development of the MAIA Lab, SPORT feasibility study for prostate cancer, and AI-based dose prediction models.
• Collaborations: Close partnership with Dr. Steve Jiang and international teams on AI in radiation oncology.

His research emphasizes translating AI into clinical tools, such as real-time dose prediction and adaptive radiotherapy systems. He has contributed to over 100 peer-reviewed publications, focusing on deep learning applications in oncology and medical physics.