All projects
Parkinson's Disease ML Research
Machine-learning and deep-learning approaches to diagnose Parkinson's disease across multiple data modalities. Published in the Expert Systems journal.
PythonMachine LearningDeep LearningResearch
Co-authored a peer-reviewed review paper analyzing how different data modalities (speech, gait, imaging, handwriting) inform ML and DL pipelines for Parkinson's diagnosis. Covers feature engineering, class-imbalance handling (SMOTE / Borderline-SMOTE), and hyperparameter optimization via the Grey Wolf Optimizer.