Danica Dillion is a Postdoctoral Researcher at Complexity Science Hub Vienna and The Ohio State University, where she studies how AI systems model moral values and how these models can be better aligned with people. Her research examines topics including perceptions of moral advice generated by large language models (LLMs), the potential for LLMs to simulate human research participants, variation in moral beliefs across social network structures, and how historical societies around the world used religion to interpret everyday events. She has also co-authored a benchmark for multicultural value alignment in LLMs. Her methods span ethnographic analysis, text analysis, and agent-based modeling. Her work has been published in journals such as Nature Human Behaviour, PNAS Nexus, and Trends in Cognitive Sciences, and featured in media outlets such as The New Yorker, Axios, and Scientific American.