After earning his engineering degree and Ph.D. from UCLouvain and completing a postdoc at UC Berkeley, G.-M. Rignanese has held a faculty position at his alma mater since 2003 while serving as adjunct professor at Northwestern Polytechnical University in Xi'an since 2022. His research focuses on first-principles simulations to design materials for electronics, energy storage and production, and he contributes to high-throughput initiatives including the Materials Project and the OPTIMADE consortium, and machine-learning-based property prediction. In 2019, he was named an APS Fellow for pioneering work on freely licensed electronic-structure and high-throughput materials-calculation software.
