פרופ' אורי שליט

My research has three threads: (1) applying machine learning and causal inference to healthcare, building decision-support tools from large-scale health data; (2) developing methods and theory at the ML–causal inference interface, with an emphasis on individual-level (heterogeneous) effects and policy learning; and (3) bringing causal ideas into core machine learning, including robust learning, domain adaptation, and human–AI cooperation.