Dan Nguyen, Ph.D. Titles and Appointments Associate Professor School Medical School Department Radiation Oncology Graduate Programs Biomedical Engineering Biography 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. Education Undergraduate 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 Publications Prior guided deep difference meta-learner for fast adaptation to stylized segmentation Nguyen D, Balagopal A, Bai T, Dohopolski M, Lin MH, Jiang S Machine Learning: Science and Technology 2025 Jun 6 Enhanced dose prediction for head and neck cancer artificial intelligence-driven radiotherapy based on transfer learning with limited training data Wang HJ, Maniscalco A, Sher D, Lin MH, Jiang S, Nguyen D Journal of applied clinical medical physics 2025 May 26 Closing the gap in plan quality: Leveraging deep-learning dose prediction for adaptive radiotherapy Domal SJ, Maniscalco A, Visak J, Dohopolski M, Moon D, Avkshtol V, Nguyen D, Jiang S, Sher D, Lin MH Journal of applied clinical medical physics 2025 May 26 Contour uncertainty assessment for MD-omitted daily adaptive online head and neck radiotherapy Liao CY, Maniscalco AM, Zhao H, Bai T, Choi B, Moon D, Yang D, Wang J, Zhong X, Nguyen D, Godley A, Jiang SB, Sher D, Lin MH Radiotherapy and Oncology 2025 Apr 205 Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer Zhao H, Wang B, Dohopolski M, Bai T, Jiang S, Nguyen D Machine Learning: Science and Technology 2025 Mar 6 Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework Zhao H, Wang B, Mistry D, Wang J, Dohopolski M, Yang D, Lu W, Jiang S, Nguyen D Machine Learning: Science and Technology 2025 Mar 6 Deep learning dose prediction to approach Erasmus-iCycle dosimetric plan quality within seconds for instantaneous treatment planning van Genderingen J, Nguyen D, Knuth F, Nomer HA, Incrocci L, Sharfo AW, Zolnay A, Oelfke U, Jiang S, Rossi L, Heijmen BJ, Breedveld S Radiotherapy and Oncology 2025 Feb 203 PULSAR Effect: Revealing potential synergies in combined radiation therapy and immunotherapy via differential equations Rouf S, Moore C, Saha D, Nguyen D, Bleile ML, Timmerman R, Peng H, Jiang S Journal of Theoretical Biology 2025 Jan 596 Mathematical modeling of the synergetic effect between radiotherapy and immunotherapy Xing Y, Moore C, Saha D, Nguyen D, Bleile ML, Jia X, Timmerman R, Peng H, Jiang S Mathematical Biosciences and Engineering 2025 22 1206-1225 Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net Yan S, Maniscalco A, Wang B, Nguyen D, Jiang S, Shen C Machine Learning: Science and Technology 2024 Dec 5 Results 1-10 of 107 1 2 3 4 5 Next Last Professional Associations/Affiliations American Association of Physicists in Medicine (2013)