Alicia Curth, a machine learning researcher specializing in causal machine learning, discusses topics such as the double descent phenomenon, conditional average treatment effect estimators, challenges in working with Kate models, curiosity-driven studies, sensitivity analysis in causal research, and contrasting approaches in machine learning and statistics/econometrics.