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.
Neil is specializing in human-centered machine learning and public policy for sustainable development. He develops data-driven human-AI collaboration algorithms and social computing systems for sustainable development, with a focus on increasing fairness and transparency in public policy decisions, analyzing large-scale datasets emerging from Earth remote sensing satellites and socio-economic processes.
Neil's current research focuses on enhancing fairness and transparency in policy decision making in global food and humanitarian systems. He is developing Global Farm Pulse, a human-centered machine learning system, to better understand the adverse impact of underlying physical processes and socio-economic policies on global food security under climate extremes. Drawing upon this understanding, he is designing equitable market mechanisms and policies to support vulnerable farmers and decision-makers to mitigate the consequence of meteorological disasters and socio-economic breakdowns.
Neil's research and its practical relevance are informed by human-centered ML and policy research in academia, quantitative finance and market risk research on Wall Street, and field research with vulnerable communities in different parts of the world.