Ismaila Dabo holds a Ph.D. in materials science and engineering from the Massachusetts Institute of Technology, and B.S. and M.S. degrees from École Polytechnique, France. Before coming to Carnegie Mellon, he worked as a tenured associate professor in the Department of Materials Science and Engineering and the Department of Physics at the Pennsylvania State University with joint appointments in the Penn State Institutes of Energy and the Environment, and the Penn State Materials Research Institute. His awards include the Presidential Early Career Award for Scientists and Engineers (PECASE), Wilson Teaching Excellence Award, Montgomery-Mitchell Teaching Innovation Award, Corning Chair in Materials Science and Engineering, and the National Science Foundation Faculty Early Career Development Program (CAREER) Award. His research focuses on developing and applying predictive computational models and machine-learning methods to maximize the performance of materials for energy conversion and storage. His research stands at the frontier between materials science, condensed matter physics, applied mathematics, and computer science with the ultimate goal of breaking down the complexity of materials problems and guiding the development of energy technologies.