Daniel Low

Professor Daniel Low is a faculty member in Radiation Oncology and Radiological Sciences at the University of California, Los Angeles (UCLA). He holds dual professorships and focuses on advancing medical physics and radiation therapy technologies. His research emphasizes MRI-guided radiotherapy, image registration, and treatment planning innovations.

Education: Ph.D. in Physics from Indiana University (1988), A.B. in Physics from Occidental College (1981).

Research Interests: Development of 4D/5D CT imaging workflows, hyaluronic acid spacers in prostate therapy, AI-driven image analysis, and improving dosimetry accuracy in radiation oncology. Recent work includes studies on MRI-guided stereotactic body radiotherapy (SBRT) for prostate and pancreatic cancers, and AI systems for detecting treatment misalignments.

Key Articles: Focuses on MRI vs. CT guidance efficacy, motion-compensated imaging, and adaptive radiotherapy techniques. Highlights include analyses of MIRAGE clinical trials and advancements in lung CT registration tools.

Grants/Awards: Extensive NIH and industry-supported research, though specific awards not listed here.

Labs/Teams: Collaborates with interdisciplinary teams at UCLA and multi-institutional trials, driving innovation in radiation therapy delivery and precision medicine.