Michele is a data scientist and machine learning engineer at Pacmed, where he builds decision support tools for medical applications. His current work mostly focuses on software for Intensive Care Units, tackling challenges such as predicting mortality, eligibility for discharge, readmission, and bed capacity. He also likes to work on improving scalability, interpretability, and speed of implementation of models in production. He's a passionate Pythonista, with a background in Biomedical Engineering and Robotics, as well as experience in applied deep learning research.