As Chief Data Scientist, Sid is responsible for leading and growing the data science and AI capability within IDinsight. He oversees the design and development of all data science projects and products and leads technical innovation within IDinsight. He and his team have built a wide range of AI-for-good solutions, such as using predictive models to find out-of-school girls in India, optimal allocation of teachers to schools in Nigeria, and using Large Language Model powered hotlines to answer questions from mothers in South Africa. He has spoken on numerous panels on how to build and deploy responsible, equitable, and scalable AI solutions for the social sector.
Prior to joining IDinsight, Sid worked as a data scientist at QuantumBlack, Coles, and the Center for International Development at Harvard. He worked in public health for the Clinton Health Access Initiative where he helped countries scale access to diagnostics, and developed global forecasts to inform pricing negotiations for sub-Saharan Africa.
Sid holds a bachelor’s degree in Computer Science and Electrical Engineering from the University of Melbourne, and an MPA in International Development (MPA/ID) from Harvard Kennedy School.