Ayana Ghosh, an R&D staff scientist in computing and computational sciences at the Department of Energy’s Oak Ridge National Laboratory, has been named an Early Career Distinguished Presenter by the Materials Research Society for the 2025 MRS Fall Meeting and Exhibit, which will be held Nov. 30–Dec. 5 in Boston.
As part of the honor, Ghosh will have the opportunity to lead this year’s symposium and write an invited article for MRS Communications, the organization’s publication. At ORNL, she has worked in several research areas, including artificial intelligence and autonomous labs, where she brings her expertise in theory and simulation to machine learning and deep learning to understand materials physics.
Ghosh earned her master’s and doctoral degrees from the University of Connecticut. During this time, she also worked as a graduate researcher at Los Alamos National Laboratory. She joined ORNL in 2020 as a postdoctoral researcher and became a full-time research scientist in 2023, working in computational chemistry and nanomaterials.
Ghosh has earned multiple awards early in her career, including the Early Discovery Award from the American Ceramics Society and the 2024 UT-Battelle Director’s Award for Outstanding Individual Accomplishment in Science and Technology for her work integrating atomistic simulations with causal machine learning. She aims to continue her efforts in this direction to advance solutions in tackling challenges in the domains of energy, AI and quantum technologies.
UT-Battelle manages ORNL for the U.S. Department of Energy’s Office of Science, the largest supporter of basic research in the physical sciences in the United States. The Office of Science is working to address some of the most pressing challenges of our time. For more information, visit energy.gov/science. — Mark Alewine
