My Projects

Occasionally, I like to work on projects that enhance my data analysis skills and make neurotech more accessible, from MRI scans to neural signal analysis. Below are 3 projects I'm most proud of!

Myalo

A Random Forest model capable of assessing neurodegenerative risk or signs based on user uploaded MRI scans. Trained on 23,000+ scans across 2000+ participants.

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NeuroDecode

Python scripts for preprocessing EEG data and applied wavelet transformations to enhance neural signal decoding accuracy, achieving 83% accuracy using Random Forest models on epileptic patient data.

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SinuWave Insight

Python scripts capable of demonstrating a full pipeline from signal acquisition, preprocessing, feature extraction, to machine learning.

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