At LWT3, he has engineered wearable devices and is leading efforts to combat musculoskeletal disorders by leveraging the OpenText Analytics database. LWT3 processes up to 20,000 daily measurements per worker and then, millions with the system at full capacity, being able to improve injury detection by 40%. A member of the IEEE and holding patents and peer-reviewed scientific publication related to human-machine interaction, Paolo is advancing real-time physiological monitoring, fatigue detection, and human-robot collaborative systems for proactive safety in the workplace.