Carla Verdi
- Lecturer and ARC DECRA fellow
- The University of Queensland, Australia
Carla Verdi received her PhD from the University of Oxford in 2017, where she continued as a post-doctoral researcher until 2018, specialising in the first-principles theory of the electron-phonon coupling and polaron physics. From 2019 to 2022, she was a post-doctoral researcher and teaching assistant at the University of Vienna, working on finite-temperature simulations of solids by combining first-principles methods and machine learning. After being awarded a DECRA fellowship by the Australian Research Council, in 2023 she moved to the University of Sydney in Australia. Later the same year, she joined the School of Mathematics and Physics at the University of Queensland as a lecturer and ARC DECRA fellow. Her research focuses on computational materials physics, where she combines first-principles materials modeling methods and machine learning techniques to understand the structural, electronic, and thermodynamic properties of functional materials.
Research impacts
Dr. Carla Verdi is a theoretical and computational condensed matter physicist with expertise in first-principles theory and simulations of advanced materials properties. She made key contributions to developing first-principles theoretical methods and their application to quantum properties of materials. She specialises in the first-principles theory of the electron-phonon coupling and polaron physics, the calculation of excited-state properties of materials for advanced optoelectronics and quantum technology, and the application of machine-learning models for finite-temperature simulations of solids.
Dr. Verdi serves as a member of the Commission on Structure and Dynamics of Condensed Matter (C10) of the International Union of Pure and Applied Physics (IUPAP) and as a Working Group member of Psi-k, an international research network for first-principles computational materials science. She has delivered more than 30 invited talks and seminars and has published 29 refereed papers with over 4500 total citations and an h-index of 20 (Google Scholar).
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