Dan Nguyen, Ph.D.

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Dan Nguyen, Ph.D., is a scientist with expertise in radiation therapy treatment planning, deep learning, and optimization techniques and algorithms. He completed his Ph.D. in Biomedical Physics in 2017 at the University of California Los Angeles (UCLA), where he worked extensively on 4π Radiotherapy, Fluence Map Optimization, and Direct Aperture Optimization techniques under the guidance and mentorship of Dr. Ke Sheng.

Dr. Nguyen was recruited to the Division of Medical Physics and Engineering, Department of Radiation Oncology at UT Southwestern in 2017 as a faculty member. He was a founding member of the multiple-investigator lab called the Medical Artificial Intelligence and Automation (MAIA) Laboratory, which was focused to innovate, develop, and apply artificial intelligence technologies to empower clinicians—especially those with less experience or limited resources—for improved patient care. He works very closely with Dr. Steve Jiang in researching and applying deep learning technologies to various facets of radiotherapy, including treatment planning, medical imaging, and outcome prediction.