Yuta Saito is an undergraduate student at Tokyo Institute of Technology, working on counterfactual learning, causal inference, off-policy evaluation, and recommender systems. He is also a science director at a startup company, Hanjuku-kaso Inc., and doing empirical research at the intersection of causal inference and machine learning in collaboration with various tech companies. Some of his recent works have been published in top machine learning venues such as ICML, SIGIR, WSDM, AdKDD, and RecSys.