Dr Supriyo Chatterjea is the coordinator of the BigMedilytics Healthcare Lighthouse project and a Senior Scientist at the Data Science Department at Philips. He joined Philips in 2008 and originally led multiple projects on communication technologies for large-scale, self-organizing IoT networks for smart city applications. He subsequently moved to the Data Science department within Philips where he was involved in using machine learning algorithms for a diverse set of applications ranging from gathering insights from data generated by large-scale IoT networks to the identification of disease biomarkers. He currently drives multiple initiatives where machine learning algorithms are used to optimize workflows in hospitals, using a combination of real-time locating systems, hospital IT systems and other internet-of-medical-things (IoMT), to ensure hospitals achieve the Quadruple Aim by improving Patient Experience, Population Health, Cost of Care and Provider Well-Being simultaneously. Prior to joining Philips, he was a post-doctoral researcher at the University of Twente focusing on designing communication protocols for wireless industrial monitoring and control and zero-energy buildings. He received his PhD and MSc in Computer Science from the University of Twente and King’s College London respectively.