Dor Morag is a PhD student majoring in Behavioral and Labor Economics with a strong focus on Machine Learning techniques (e.g., NLP). His research interests lie in using causal analysis (experimental and quasi-experimental) in conjecture with ML tools to study decision-making and the labor market. Specifically, his ongoing research projects explore the influence of narratives on valuations, the effects of job ad features on applications, and the role of randomness in talent evaluation. A large part of his work involves collaborations with private companies (e.g., Arrive Logistics, Phenom People, and Pittsburgh Pirates), in which he combines solving business problems with economic research.