Ramit is a computational social scientist. His research focuses on energy and climate justice in the built environment using data science. He uses machine learning and AI to inform sustainability and policy decisions for climate repair. He has a background in electrical engineering and sustainable development. He is currently a Laudes Foundation Research Associate and a Gates Scholar at the Centre for Natural Material Innovation at Cambridge Architecture, and a member of the Energy Policy Research Group at Cambridge Judge Business School. Ramit is also a visiting scholar at the International Energy Agency (IEA)’s Energy Efficiency Division, working on the social dimension of digital networks. His work on integrating natural language processing and policymaking is currently informing net-zero and renewable integration dialogues for the COP26.