Neil Gaikwad

Human-centered Machine Learning Researcher

Neil Gaikwad advances the field of societal and urban computing, through the lens of human-centered machine learning, design, and evidence-informed policymaking for sustainable development. His research at theMassachusetts Institute of Technology seeks to understand and reform broken urban systems and markets (e.g., financial, gig-economy, and agricultural) that continue to endanger socioeconomic and environmental sustainability. His human-centered machine learning research is targeted to improve global food security by helping marginalized farmers and policymakers mitigate the impact of meteorological disasters and institutional breakdowns. His honors include the Facebook Research Fellowship, MIT Arts Scholar, and Karl Taylor Compton Prize, MIT's highest student award.


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