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Magdalena Ponce de León Neuroimaging & Data Analytics Specialist

About

Magdalena Ponce de León is an independent neuroimaging consultant and PhD candidate in Clinical Neurosciences at the Medical University of Vienna, with 6+ years of experience in PET/MRI workflows, quantitative imaging, and advanced data analysis. She partners with imaging centers, clinical teams, and research groups to transform complex imaging data into actionable, stakeholder-ready insights that enhance diagnostics, research, and decision-making.

Her expertise spans MATLAB, Python, R, SPM12, FSL, FreeSurfer, ANTs, and PMOD, enabling the design of tailored, reproducible pipelines for preprocessing, volume of interest segmentation, quantification, and reporting — improving diagnostic precision and operational efficiency.

Multilingual (Spanish, English, Italian, German) and experienced in international, multidisciplinary collaborations, Magdalena provides consultancy to optimize workflows, reporting, and scientific communication for clinical and research teams.

Selected Publications

  • Reed MB, Ponce de León M, et al. Optimal filtering strategies for task-specific functional PET imaging. Journal of Cerebral Blood Flow & Metabolism. 2025;45(9):1760–1773. doi:10.1177/0271678X251325668
  • Ponce de León M, et al. Simplified methods for SERT occupancy estimation measured with [11C]DASB PET bolus plus infusion. NeuroImage. 2025;311:121208. doi:10.1016/j.neuroimage.2025.121208
  • Damianich A, et al., Ponce De León M, et al. Tau mis-splicing correlates with motor impairments and striatal dysfunction in a model of tauopathy. Brain. 2021;144(8):2302–2309. doi:10.1093/brain/awab130
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Contact

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