The highly competitive Facebook Fellowship award recognizes outstanding PhD students engaged in relevant, innovative research across the fields of computer science and engineering. This year, twenty-one Fellows and seven Emerging Scholars (including several from MIT) were chosen out of more than 900 applications from all over the world. The fellowship award includes two years of tuition and fees, a stipend, and conference travel support.
Neil is specializing in human-centered machine learning and social computing for sustainability. He develops human-machine collaboration algorithms, social computing systems, and mechanisms to study, model, and (re-) design socio-technical systems to balance economic, social, and environmental needs for sustainable development, analyzing large-scale datasets emerging from social processes, Earth remote sensing satellites, and socio-economic interactions.
Neil's current research focuses on the economic and social sustainability of markets under weak institutional enforcements and global food systems. He is developing human-centered machine learning for decoding the impact of social and the Earth’s physical processes on global food security and supply chain. Drawing upon this understanding, he is designing precision agriculture markets to enhance food security by helping marginalized farmers mitigate the impact of meteorological disasters and market breakdowns.
Neil's research is informed by experiences in academia, quantitative finance on Wall Street, and farming communities in the Western Ghats of India (Sahyadri).