Neuroimaging
- Structural MRI
- Functional MRI (fMRI)
- Diffusion MRI, DTI, and DKI
- Arterial spin labeling and perfusion MRI
- Magnetic resonance spectroscopy
- Multimodal neuroimaging
- 7-Tesla MRI
Skills
Imaging methods and research tools.
Skills are grouped by research relevance. Experience qualifiers from the current website and CV are retained; general productivity tools are intentionally de-emphasized.
Quantitative MRI
- Quantitative susceptibility mapping (QSM)
- Magnetic susceptibility source separation (χ-separation)
- MRI relaxometry using MATLAB
- Iron, myelin, and water-content mapping
- Quantitative MRI biomarkers
Image Processing
- FreeSurfer and Freeview
- SPM
- FSL
- CAT12
- CONN
- ITK-SNAP
- STI Suite
- dicom2nifti
- LCModel
- ExploreDTI
- MRIcron, MRIcro, and MRIcroGL
Programming
- MATLAB — professional experience
- Python — pre-professional learning experience
- R — pre-professional learning experience
Statistics
- Biostatistical analysis
- Meta-analysis
- SPSS
- STATA
Research Methodology
- Systematic reviews and meta-analyses
- Longitudinal neuroimaging
- Multimodal data integration
- Imaging and neuropsychological assessment
- Clinical biomarker research
Software & Supporting Tools
- ClearCanvas
- RadiAnt
- DICOM Viewer
- CMAP Scan and MUNIX — pre-professional experience
- TARQUIN and jMRUI — preliminary experience
- LaTeX and Microsoft Word
- Linux (Ubuntu) and Windows
- Microsoft Office
Teaching & Collaboration
- Advanced MR neuroimaging physics and techniques — six years of teaching experience
- Teamwork coordination and time management
- Co-director of the Galleny Team
- Specialized consultation for MSc and PhD entrance examinations — seven years