Department of Radiation and Cellular Oncology
Zhen Tian is a board-certified medical physicist whose research focuses on the use of artificial intelligence and parallel computing to advance radiotherapy. She has developed expertise in GPU-based iterative low dose image reconstruction, ultra-fast Monte Carlo dose calculation and microscopic Monte Carlo simulation, and AI-based autoplanning for radiotherapy. She has been awarded an R37 grant and an R01 grant by the National Cancer Institute.
Her research has been published in Medical Physics, Physics in Medicine and Biology, IEEE Transactions on Medical Imaging, Radiation Oncology, Journal of Medical Imaging, Journal of Applied Clinical Medical Physics, Brachytherapy, Optics Express, Journal of Contemporary Brachytherapy, International Journal of Radiation Oncology–Biology–Physics, Medical Dosimetry, and Information Processing & Management.
Tian received a BE degree in biomedical engineering at Xi’an Jiaotong University in Xi’an, China, and a PhD in biomedical engineering at Tsinghua University in Beijing. She completed postdoctoral studies in medical physics at the University of California, San Diego, and a residency in therapeutic physics at the University of Texas Southwestern Medical Center in Dallas.