Mahshid Ahmadi is an Associate Professor in the Department of Materials Science and Engineering at the University of Tennessee, Knoxville. She earned her Ph.D. in 2013 from Nanyang Technological University, Singapore. She leads a program that combines autonomous high-throughput experimentation, hypothesis-driven synthesis, and interpretable machine learning to accelerate halide perovskites discovery and extract fundamental insights from complex datasets. Her work sits at the forefront of AI-driven materials science and aims to establish a predictive understanding of structure–property relationships in halide perovskites. She is the recipient 2021 NSF CAREER Award, 2022 Alfred P. Sloan Fellowship in Chemistry, and 2025 Scialog Fellowship in Automated Chemical Laboratories from the Research Corporation for Science Advancement (RCSA). She was named a 2024 Early Career Rising Star in Materials Science by ACS Materials Au, 2024 UTK Tickle College of Engineering Professional Promise in Research Award, and the 2022 UTK MSE Faculty Award for Excellence in Research. She serves as an Associate Editor for APL Machine Learning and has authored or co-authored more than 100 peer-reviewed publications.