Sendhil Mullainathan

Sendhil Mullainathan is an Indian-American economist renowned for pioneering work in behavioral economics and the integration of machine learning techniques to address complex social issues, including poverty , discrimination , and health disparities. Currently, he serves as the Peter B. de Florez Professor of Economics and Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, where his research emphasizes human-centered AI and causal inference in policy design.

Mullainathan's contributions include co-founding the Abdul Latif Jameel Poverty Action Lab (J-PAL), which promotes randomized controlled trials to evaluate poverty alleviation interventions, and ideas42, a nonprofit applying behavioral science to public policy . His empirical studies have demonstrated how scarcity impairs cognitive function, influencing decision-making in low-income contexts, as detailed in his co-authored book Scarcity: Why Having Too Little Means So Much . Among his accolades are the 2002 MacArthur Fellowship, the 2018 Infosys Prize in Social Sciences for advancing behavioral economics , and recognition as a 2025 Clarivate Citation Laureate for highly cited research in economics. Mullainathan's approach prioritizes data-driven insights over ideological assumptions, critiquing biases in algorithmic decision-making and media narratives through rigorous testing.

Sendhil Mullainathan was born in 1973 in Chennai , India , and grew up in the small village of Kozhiyum in Tamil Nadu , where he lived with his mother and paternal grandfather. His early years were spent in a rural farming environment, characterized by sugarcane cultivation in southern India . Mullainathan's father initially relocated to the United States ahead of the family to pursue studies, establishing a pathway for eventual reunion.

In 1980, at the age of seven, Mullainathan immigrated to the Los Angeles area with his mother and siblings to join his father, marking a transition from rural Indian village life to urban America. The family's move was facilitated by his father's educational and professional opportunities in the U.S., including subsequent employment as an aerospace engineer. This immigration occurred during a period of increasing Indian migration to the U.S. for economic and educational prospects, though the family faced challenges shortly after arrival, including his father's job loss when Mullainathan was around ten years old.

Mullainathan earned a Bachelor of Arts degree from Cornell University in 1993, with studies encompassing computer science , economics , and mathematics . This interdisciplinary foundation exposed him to computational methods alongside economic theory, fostering an early integration of technical and analytical approaches that later informed his research.

He pursued graduate studies at Harvard University, obtaining a Ph.D. in Economics in 1998. His dissertation, titled Essays in Applied Microeconomics , was advised by Drew Fudenberg, Lawrence F. Katz, and Andrei Shleifer, whose expertise in game theory, labor economics, and behavioral aspects of finance respectively shaped his focus on bounded rationality and real-world decision-making deviations from classical models.

Formative influences during this period included personal experiences with economic hardship, such as his family's encounter with financial scarcity following his father's job loss as an aerospace engineer in 1984, which ignited his interest in the cognitive impacts of poverty . This complemented academic exposure to behavioral economics , evident in early collaborations like his work with Richard H. Thaler on integrating psychological insights into economic analysis, emphasizing systematic biases over rational actor assumptions. His exposure to poverty in India during early childhood further reinforced a commitment to applying economics to development challenges, prioritizing empirical deviations from standard models.