My work examines how situational factors challenge people’s accuracy and when advice produced by algorithms can help them overcome biases in their judgments. My primary research is a line of work I call "Theory of Machine." It examines lay theories about how algorithmic judgment differs from human judgment. Specifically, it tests when people are most likely to leverage the power of algorithms (scripts for mathematical calculations) to improve how accurately they view themselves and the world. I received my Ph.D. from the University of California, Berkeley.