fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
High-school research portfolio: 2 peer-reviewed publications (IEEE, IJHSR) + 3 active projects spanning quantum-inspired ML, computational biology, biomedical imaging, wildfire RL, and science-education research. Stanford Medicine, UCLA COSMOS & UCSB SRA affiliated.