Nader Ghassemi, PhD

My research focuses on improving the precision, safety, and personalization of cancer radiotherapy through advanced imaging, quantitative analysis, motion management, and treatment planning optimization. My scientific background is in physics, NMR spectroscopy, computational modeling, and data analysis, including Ph.D. training in NMR/DFT-based quantitative methods and MS level coursework in computer science. I now apply this quantitative and computational foundation to radiation oncology, with a major focus on 4DCT ventilation imaging for lung cancer radiotherapy. This work aims to identify and spare highly functional lung regions during treatment planning, with the goal of reducing pulmonary toxicity while maintaining tumor coverage. My broader cancer-related research includes respiratory motion management, image-guided radiotherapy, SBRT, deformable image registration, radiomics, auto contouring evaluation, and treatment-planning quality assurance. Overall, my goal is to develop clinically practical imaging- and physics-based tools that improve radiotherapy decision-making, reduce normal tissue complications, and
support individualized treatment for patients with thoracic and other cancers.