Daniel currently serves as the Data Science Lead for the Frontier Tech Unit of the UNICEF Office of Innovation. In this capacity, he manages and provide technical assistance in the scoping, development and implementation of data science and artificial intelligence projects with UNICEF country offices serving UNICEF’s programmatic objectives relating to humanitarian cash transfers, in-kind aid delivery, healthcare delivery, education technology, climate and environment and water, sanitation and hygiene. He is an innovator, advocate, technologist and creative pragmatist with an eye for problem-solving. He believes that data science can be used for social benefit to discover, diagnose and design responses to real-world problems. Daniel has over 15 years of professional experience drawn from an array of sectors including financial risk management and analytics, humanitarian aid through cash transfers, startup ventures, enterprise software and policy implementation. Prior to his current role, Daniel served as a data science and artificial intelligence mentor for companies funded by the UNICEF Venture Fund. Daniel holds a Bachelor’s degree in economics from Brown University, a Master in Public Administration from Columbia University’s School of International and Public Affairs, a Master in Information and Data Science from the University of California, Berkeley. He lives with his wife and two young daughters.