Modibo Camara

Modibo Camara is an Assistant Professor of Economics at the Stanford Graduate School of Business. His work bridges microeconomic theory with computer science, focusing on mechanism design, algorithmic game theory, and computational economics. He holds a position at Stanford University's prestigious business school.

His research interests include computational social choice, incentive-compatible mechanisms, and the intersection of machine learning with economic decision-making. Notable contributions address tractable choice models and mechanism design under common datasets.

Camara has received recognition for his work, including the 'Best Paper with a Student Lead Author' and 'Exemplary Theory Track Paper' awards at EC 2022. His publications span top venues like EC and FOCS, addressing topics from no-regret agents to algorithmic economics.

His research demonstrates interdisciplinary impact, combining theoretical rigor with computational tractability. Current projects likely continue exploring algorithmic foundations of economic systems and their practical applications.