Maria Chang

Publications: Maria's Google Scholar Profile

Maria Chang is a Senior Research Scientist at IBM Research specializing in neuro-symbolic methods for natural language understanding, including integrations of structured knowledge bases and large language models to improve reliability, interpretability, and reasoning skills. She is particularly interested in how these capabilities can contribute to AI alignment and safety. She was a co-PI of the CHRONOS event understanding and prediction project, funded by the DARPA KAIROS program. She was also a key technical contributor to the Watson Dialogue-Based Tutoring project. Her work has appeared in a variety of AI and cognitive science conferences and journals, including AI magazine, AAAI, IAAI, Topics in Cognitive Science, Spatial Cognition, and Neuroimage. She is currently an elected member of the AAAI executive council (elected in 2022). She received a PhD in computer science from Northwestern University and a BA in cognitive science from UC Berkeley.