Decode mental state form EEG data, evaluated by recording users while performing relaxation exercises, achieved by implementing a Machine Learning pipeline to model and classify time series signals from the brain. (Python, PyTorch, MySQL, Scikit-Learn, LSL, AWS)

As a Software Developer, I used deep learning algorithms to analyze EEG data from stroke patients and identify lesion locations and to assess the extent of brain damage. I collaborated with a team of clinicians, neurologists, and engineers and presented my findings in scientific conferences and publications, contributing to the understanding of the neural mechanisms of stroke. (Python,Docker, SQL, R)