AI and predictive analytics play an important role in identifying these patients in real-time before they leave the hospital, enabling proactive, personalized care that can keep them healthy at home and reduce future readmissions.
Raphael Cohen
VP AI and Engineering
With expertise in machine learning, cloud computing, and healthcare, Raphael translates complex technical challenges into practical healthcare solutions. He’s pioneered ML platforms to drive innovations in radiology, pathology, and anesthesia while simultaneously improving operational efficiency and scale. Outside of work, he’s an avid cyclist who regularly participates in the Pan-Mass Challenge, enjoys hiking the White Mountains, and is often found playing guitar. He received a BS in Computer Science and Applied Mathematics from Brandeis University.