Dan Ma

Dan Ma is an Associate Professor of Neurosurgery and Biomedical Engineering at Duke University School of Medicine, with a focus on advancing quantitative Magnetic Resonance Imaging (MRI) technology. His research bridges MR physics, signal modeling, artificial intelligence, and clinical translation to improve disease diagnosis and treatment.

Education:

• Ph.D., Case Western Reserve University School of Medicine (2015)

His lab specializes in Magnetic Resonance Fingerprinting (MRF), a non-invasive technique for quantifying tissue properties, and develops multi-parametric MR methods for clinical applications in epilepsy, brain tumors, breast cancer, and prostate cancer. Recent work includes technical innovations in SyntheticMR implementation for radiation therapy and 3D MRF for dynamic contrast-enhanced imaging.

Scientific Awards:

• Senior Member, National Academy of Inventors (2023)
• Junior Fellow, ISMRM (2017)
• I.I. Rabi Young Investigator Award, ISMRM (2016)

Dan Ma is a core member of Duke's Center for Brain Imaging and Analysis. His research integrates AI into MRI post-processing and explores motion-robust scans for neonatal imaging. Publications highlight his contributions to pulse sequence design, relaxometry standardization, and cortical dysplasia characterization.