Antimo Marrazzo is a computational condensed-matter physicist and materials scientist working on the theory and simulation of materials, with a focus on the design and discovery of novel topological, quantum and two-dimensional materials, and on the development of electronic-structure methods and data-driven approaches. He obtained his BSc and MSc in Physics cum laude at University of Trieste (Italy) in 2013 and 2015 respectively, with a thesis on the Local Properties of the Orbital Magnetization, the Anomalous Hall Effect and the Localization Tensor in Magnetic Metals. In October 2015 he moved to the group of Nicola Marzari at the École Polytechnique Fédérale de Lausanne (EPFL, Switzerland) where got his PhD in Materials Science and Engineering in November 2019, with a thesis on Electronic Structure and Topology of Novel Materials, winning the 2020 EPFL Doctoral Program Thesis Distinction (awarded to the 8% best PhD thesis), the SAIS prize 2021 (best STEM PhD 2021 among Italian-speaking doctoral students in Switzerland) and the Wasserman Award 2021 (for innovative and high-level research in the field of new materials). He stayed at EPFL as a post-doc with Nicola Marzari until 2020 and from April 2021 to March 2024 he worked as a junior assistant professor (RTDa) at the Physics Department of University of Trieste (Italy). In April 2024 he started as a tenure-track assistant professor (RTDb) at the International School for Advanced Studies (SISSA) in Trieste. He has authored 25 publications, more than half as first or last author, with more than 3700 citations (source Scopus). In January 2022 he attained the Italian national scientific habilitation (ASN) as associate professor in theoretical condensed matter physics (FIS/03 - 02/B2). He currently focuses on the theory and simulation of materials, particularly electronic structure. He has worked extensively on the discovery and design of new materials, especially topological insulators and two-dimensional systems. His research combines first-principles simulations based on density functional theory (DFT), orbital-dependent functionals (Koopmans-compliant), and many-body perturbation theory (GW) with materials informatics (databases and workflow automation) and data-driven approaches (such as machine learning), extensively leveraging high-performance computing (HPC). Many of his works involve Wannier functions, spin-orbit coupling physics, and concepts from geometry and topology. In recent years, he hasw begun to explore temperature effects, strong electronic correlations, and disorder in topological systems. He and his team at ARGO work on many aspects of the field: from the development of new theories and computational methods, to the targeted study of materials, including high-throughput materials screening and collaborations with experimental groups.