Regular biography
Alexandre Belloni is the Westgate Distinguished Professor of Decision Sciences at Duke University's Fuqua School of Business. His research spans AI, statistics, economics, and operations research, with a focus on causal inference, high-dimensional statistics, econometrics, machine learning, and mechanism design. His work applies these methods to complex decision-making problems in business, public policy, and digital settings. Professor Belloni has served on editorial boards in Economics, Statistics, and Operations Research and has been recognized for his contributions to the field. His teaching includes Core Statistics and Data Analytics for various programs at Fuqua.
Scholar-generated biography
Alexandre Belloni is an econometrician and statistician specializing in high-dimensional data analysis, optimization, and mechanism design. His research focuses on developing and applying statistical methods for inference in complex econometric models, particularly in the presence of high-dimensional controls. Belloni's work includes advancements in sparse modeling, post-selection inference, and robust estimation techniques for causal inference and program evaluation. His publications address challenges in econometric modeling, such as inference on treatment effects, optimal instruments, and efficient estimation in nonparametric and semiparametric settings. His research has significant implications for policy analysis and empirical economics.