Dr. Moritz Gubler received his PhD in Physics from the University of Basel in 2025, following his MSc (2021) Computational Physics, also at Basel. His research lies at the intersection of electronic-structure theory and high-performance computing, with a focus on developing accurate and efficient first-principles methods. He has published on topics ranging from variable cell shape geometry optimization and noise-tolerant force calculations in density-functional theory to machine-learning potentials and the enthalpy landscape of putative room temperature superconductors. Moritz is a developer of several widely used open-source tools, including an ASE-compatible Python interface to the SIRIUS library for large-scale plane-wave DFT, the VCSQNM variable-cell optimization algorithm, a parallel implementation of the Minima Hopping method and he contributes to the MRChem multiwavelet DFT code. His work combines methodological innovation with applications to complex materials, aiming to push the limits of computational materials science.
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