معرفی
Alexandre Belloni is the Westgate Distinguished Professor of Decision Sciences at Duke University's Fuqua School of Business, with a joint appointment in Statistical Science at Trinity College of Arts & Sciences. He holds a Ph.D. in Operations Research from MIT (2006) and a M.Sc. in Mathematical Economics from IMPA (2002). His research focuses on machine learning, statistics, mechanism design, and optimization, with applications in business, public policy, and digital markets. He has contributed to high-dimensional econometrics, causal inference, and auction design.
Education:
- Ph.D. in Operations Research, MIT, 2006
- M.Sc. in Mathematical Economics, IMPA, 2002
Research Interests:
His work bridges statistics, economics, and operations research, emphasizing causal inference, quantile regression, and mechanism design. Notable areas include optimal auction design, latent agent networks, and high-dimensional panel models. His methods address challenges in data-rich environments, such as resource allocation and treatment effect evaluation.
Publications:
Recent work includes mechanisms for multiunit buyers, latent agent networks, and high-dimensional quantile regression. His research often combines theoretical rigor with practical applications, such as Amazon's storage optimization for third-party sellers.
Awards:
- 2007 Young Researchers Competition in Continuous Optimization Award
- 2022 Da Vinci Award (Amazon SCOT)
- 2022 Bank of America Award, Fuqua School of Business
Grants & Activities:
Co-Principal Investigator on NSF-funded Applied Mechanism Design Research (2009–2011). Collaborates with Amazon as an Amazon Scholar, addressing technical challenges in data science and machine learning.
Labs & Teams:
Active in Duke's Decision Sciences group and collaborates with interdisciplinary teams on projects like causal inference in policy evaluation and dynamic mechanism design.
