Cláudio Carlos da Silva Horas is a civil engineer specializing in structural engineering, currently working as a postdoctoral researcher at the Faculty of Engineering of the University of Porto (FEUP), where he is also an integrated member of the Institute for Research and Development in Structures and Construction (CONSTRUCT). His work is oriented towards the development of advanced engineering methodologies for the analysis and design of railway infrastructure, combining scientific research with practical engineering applications. His research is primarily focused on the fatigue behaviour of metallic structures, particularly railway bridges, through the development of multiscale and global–local approaches. He has contributed to methodologies for predicting the remaining service life of existing structures, including the development of technical guidelines applied in real engineering contexts. More recently, his work has incorporated data-driven techniques, such as machine learning, and digital twin frameworks to enhance the accuracy and efficiency of structural assessment methodologies. Cláudio Horas obtained his PhD in Civil Engineering (Structural specialization) from FEUP in 2021, with distinction (Cum Laude), with the thesis entitled “Integrated methodology for fatigue life prediction of existing metallic railway bridges”. After completing his MSc degree at FEUP in 2011 (17 out of 20), with the thesis entitled “Dynamic behaviour of railway bridges with precast deck for high-speed traffic” (19 out of 20), he worked as a Structural Engineer at Adão da Fonseca, Engenheiros Consultores, Lda., where he was involved in the design of buildings, bridges, and special structures, providing him with a solid foundation in applied engineering practice. He has an extensive scientific output, including publications in high-impact international journals and contributions to international conferences, reflecting sustained engagement with the global research community. His work spans topics such as fatigue crack initiation and propagation, probabilistic fatigue modelling, structural dynamics, and the application of advanced numerical methods. Additionally, he is actively involved in nationally and European-funded research projects in the railway sector, including the structural design of rolling stock, with a focus on static, dynamic, and fatigue analysis. Alongside his research, he contributes to academic life through teaching activities in engineering courses and the supervision of MSc and PhD students. He is also actively engaged in the scientific community as a reviewer and editor for several international journals and participates in the organization of scientific events. His profile reflects a combination of technical expertise, scientific productivity, and a strong commitment to advancing knowledge in structural engineering, particularly in the assessment and sustainability of railway infrastructures.