معرفی
Luke Russell is a Contract Instructor at Carleton University's Faculty of Engineering and Design. He holds a Ph.D. from Carleton University. His research focuses on econometric theory, statistical methods for causal inference, and machine learning applications in policy analysis. Key areas include counterfactual analysis, partial identification in econometric models, and robust optimization techniques.
His publications span topics like dynamic panel models, specification tests for moment inequalities, and Wasserstein-robust counterfactuals. He contributes to methodological advancements in handling endogeneity, nonseparable models, and optimal policy learning. No awards or grants are explicitly mentioned in the provided information.
Russell’s work bridges econometrics and machine learning, addressing challenges in treatment effect estimation and policy evaluation. While specific lab affiliations are unlisted, his role within the Faculty of Engineering suggests involvement in interdisciplinary research initiatives.
