Sara obtained her Master's degree in Electrical Engineering in 2020. Her primary interest lies in analyzing tabular data and employing artificial intelligence techniques on it. Currently, she is dedicated to utilizing machine learning approaches to predict and interpret intricate bacterial characteristics, such as bacterial origin and antimicrobial resistance.