Dr. Rebecca Lindsey —Dow Corning Assistant Professor of Chemical Engineering at the University of Michigan 

“Advancing Computational Materials Science through Physics-Informed Machine Learning” 

Abstract: Dr. Lindsey is the Dow Corning Assistant Professor of Chemical Engineering and, by courtesy, of Applied Physics, Nuclear Engineering and Radiological Sciences, and Materials Science at the University of Michigan (UM). Prior to joining UM, Dr. Lindsey earned her B.S. in Chemical Engineering from Wayne State University and her M.S. and Ph.D. in Chemical Physics from the University of Minnesota. Following, she worked as a postdoctoral scholar at Lawrence Livermore National Laboratory (LLNL), where she later converted to staff, leading a variety of research teams within the LLNL Energetic Materials Center. Her research combines computational materials science, chemistry, machine learning, and AI to accelerate design, discovery, and synthesis of new functional materials, and has been underpinned by a strong interest in developing tools enabling work in previously inaccessible problem spaces. Her work has been recognized by a number of awards, the most recent of which include the 2025 American Physical Society Neil Ashcroft Early Career Award for Studies of Matter at Extreme High-Pressure Conditions and the 2024 American Institute of Chemical Engineering Computational Molecular Science and Engineering Forum Young Investigator Award. 

Biography: Dr. Lindsey is the Dow Corning Assistant Professor of Chemical Engineering and, by courtesy, of Applied Physics, Nuclear Engineering and Radiological Sciences, and Materials Science at the University of Michigan (UM). Prior to joining UM, Dr. Lindsey earned her B.S. in Chemical Engineering from Wayne State University and her M.S. and Ph.D. in Chemical Physics from the University of Minnesota. Following, she worked as a postdoctoral scholar at Lawrence Livermore National Laboratory (LLNL), where she later converted to staff, leading a variety of research teams within the LLNL Energetic Materials Center. Her research combines computational materials science, chemistry, machine learning, and AI to accelerate design, discovery, and synthesis of new functional materials, and has been underpinned by a strong interest in developing tools enabling work in previously inaccessible problem spaces. Her work has been recognized by a number of awards, the most recent of which include the 2025 American Physical Society Neil Ashcroft Early Career Award for Studies of Matter at Extreme High-Pressure Conditions and the 2024 American Institute of Chemical Engineering Computational Molecular Science and Engineering Forum Young Investigator Award.