Felipe C. de Figueredo - University of Washington

Felipe holds a PhD in Economics from the University of Washington, specializing in applied econometrics. His research focuses on causal modeling through experimental and quasi-experimental designs, including difference-in-differences, regression discontinuity, and synthetic control methods, and he uses techniques such as double machine learning and inverse propensity weighting to address selection bias. His toolkit combines data science skills in Python and SQL with expertise in machine learning.