Daniel Vergara, MS, DABR

Medical Physicist

Diagnostic Physics

Expertise

Clinical Responsibilities:

All aspects of clinical diagnostic imaging, including measurement and verification of radiation doses and quality control from all imaging modalities.

Dose optimization and quality management.

CT/MRI protocol management and optimization.

ACR accreditation and JC requirements

Radiation safety policies and protocols

Biography

Daniel Vergara is a new Diagnostic Medical Physicist at University of Washington, with duties in all clinical modalities in the department of Radiology, with specialization in the use of AI in medical imaging. He serves on various AAPM committees, including Computer Aided imaging Analysis subcommittee and Continuing Certification subcommittee, and has recently co-authored, “AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.” In addition, Mr. Vergara serves as a reviewer for the International Journal of Medical Physics and the Journal of European Radiology. He has over 12 years of experience in Diagnostic Radiology, Nuclear Medicine, and Radiation Therapy.

Daniel received a Bachelor of Science in Physics (2008), with dual minors in Mathematics and Painting, and a CAMPEP accredited Master of Science in Medical Physics (2012) from Florida Atlantic University. In 2018, he completed his CAMPEP accredited residency training in Diagnostic Medical Physics at the University of Alabama at Birmingham Medical Center (UAB).

He has worked in every realm of Medical Physics, including academia, clinical and industry. He has conducted research, written technical documents, collaborated in FDA 510(k) clearance, and has trained and lectured to fellow colleagues around the world.

When not focused on medical physics, Daniel enjoys spending time with his family, getting lost in the mountains, and being an amateur astrophotographer.

Research Interests

Evaluation of advanced CT and MRI acquisition technologies

Protocol optimization methods in radiology and radiation dosimetry

Education