Overview

I have taken a lead role in managing, quality-controlling, preprocessing, analyzing, and visualizing neuroimaging data for multiple research projects. I also write scripts to improve image processing pipelines.

Here’s a summary of my experience with neuroimaging data:

• Years of Experience: 5+ years

• Image Type: MRI, EEG, MEG

• MRI Modality: T1, Resting-state & Task-based Functional MRI (fMRI), Diffusion Tensor Imaging (DTI), and Arterial Spin Labeling (ASL)

• Container/Pipeline: FreeSurfer, MRIQC, fMRIPrep, QSIPrep, ASLPrep, FieldTrip Toolbox, OPPNI

• Language: Python, MATLAB, R, Shell Scripting (Bash)

• File Type: DICOM, NIfTI, BDF, JSON

• Related Tools: Datalad, Slurm, XNAT, GitHub, BIDS

• Qualification: Master of Applied Science (MASc) in Biomedical Engineering (University of Toronto, ‘20)