Download Curriculum Vitae

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.


University of Texas-Austin (2012), Physics
Graduate School
Uni of California (UCLA) (2015), Biomedical Physics
Graduate School
Uni of California (UCLA) (2017), Biomedical Physics

Research Interest

  • Artificial Intelligence
  • Deep Learning
  • Optimization Techniques and Algorithms
  • Radiation Therapy


Multimodal radiotherapy dose prediction using a multi-task deep learning model
Maniscalco A, Mathew E, Parsons D, Visak J, Arbab M, Alluri P, Li X, Wandrey N, Lin MH, Rahimi A, Jiang S, Nguyen D Medical physics 2024 Jun 51 3932-3949
Deep learning based automatic segmentation of the Internal Pudendal Artery in definitive radiotherapy treatment planning of localized prostate cancer
Balagopal A, Dohopolski M, Suk Kwon Y, Montalvo S, Morgan H, Bai T, Nguyen D, Liang X, Zhong X, Lin MH, Desai N, Jiang S Physics and Imaging in Radiation Oncology 2024 Apr 30
Simulation and pre-planning omitted radiotherapy (SPORT): a feasibility study for prostate cancer
Zhuang T, Parsons D, Desai N, Gibbard G, Keilty D, Lin MH, Cai B, Nguyen D, Chiu T, Godley A, Pompos A, Jiang S Biomedical Physics and Engineering Express 2024 Mar 10
Segmentation of liver and liver lesions using deep learning
Fallahpoor M, Nguyen D, Montahaei E, Hosseini A, Nikbakhtian S, Naseri M, Salahshour F, Farzanefar S, Abbasi M Physical and Engineering Sciences in Medicine 2024
Single patient learning for adaptive radiotherapy dose prediction
Maniscalco A, Liang X, Lin MH, Jiang S, Nguyen D Medical physics 2023 Dec 50 7324-7337
Intentional deep overfit learning for patient-specific dose predictions in adaptive radiotherapy
Maniscalco A, Liang X, Lin MH, Jiang S, Nguyen D Medical physics 2023 Sep 50 5354-5363
Reinforcement learning for radiation therapy planning and image processing
Nguyen D, Shen C, Jia X, Jiang S 2023 Aug 87-97
Artificial intelligence guided physician directive improves head and neck planning quality and practice Uniformity: A prospective study
Mashayekhi M, McBeth R, Nguyen D, Yen A, Trivedi Z, Moon D, Avkshtol V, Vo D, Sher D, Jiang S, Lin MH Clinical and Translational Radiation Oncology 2023 May 40
Segmentation by test-time optimization for CBCT-based adaptive radiation therapy
Liang X, Chun J, Morgan H, Bai T, Nguyen D, Park J, Jiang S Medical physics 2023 Apr 50 1947-1961
Recent Advancements of Artificial Intelligence in Particle Therapy
Peng H, Wu C, Nguyen D, Schuemann J, Mairani A, Pu Y, Jiang S IEEE Transactions on Radiation and Plasma Medical Sciences 2023 Mar 7 213-224

Professional Associations/Affiliations

  • American Association of Physicists in Medicine (2013)