Maria Chan is a scientist at the Center for Nanoscale Materials at Argonne National Laboratory who studies nanomaterials including battery materials. Her particular focus is on using artificial intelligence/machine learning (AI/ML) for efficient materials property prediction and for interfacing modeling with experimental characterization. She is the deputy lead for the Argonne-led battery hub Energy Storage Research Alliance's Materials Acceleration Platform Crosscut. Chan has joint appointments at Northwestern University and the University of Chicago. She is also an associate editor at the ACS Journal Chemistry of Materials, and a member of the Condensed Matter and Materials Research Committee of the National Academies of Sciences. She was elected a Fellow of the American Physical Society in 2024.