- Collaborated with Hospital Pedro Hispano on a research project focused on leveraging Machine Learning techniques for the detection of Parkinson's Disease through patient voice recordings.- Developed and optimized Machine Learning models using Python, capable of extracting Deep Neural Network embeddings and interpretable features from audio files.- Employed common ML algorithms for training and testing, achieving a classification accuracy of up to 99% under controlled experimental conditions.- Contributed to interdisciplinary research efforts, supporting the future implementation of similar technologies in clinical settings.