Lourenço Isidro do Carmo Neiva Mourão holds a B.Sc. in Computer Science and Engineering (CSE) from Faculdade de Ciências da Universidade de Lisboa and an M.Sc. in the same field—with majors in Artificial Intelligence (AI) and Software Engineering—from Instituto Superior Técnico, Universidade de Lisboa (IST). During his M.Sc. studies, Lourenço researched the interplay between CSE, Algorithmic Design (AD), and Computational Design (CD) at INESC-ID, focusing on optimizing ornamental integration in architectural settings. With a Fundação para a Ciência e Tecnologia (FCT) scholarship, via the CMU Portugal Program, he spent three months (Oct-Dec 2023) at Carnegie Mellon University (Pittsburgh, PA, USA), where he analyzed advanced 3D modeling techniques and proposed a method that decouples structural geometry from ornamental details within architectural contexts—significantly reducing the effort and time required to produce highly detailed designs. Expanding on this research, Lourenço developed a modular, scripting-based AD solution to generate complex Gothic geometries adaptable to diverse architectural and ornamental configurations, ultimately forming the basis of his M.Sc. thesis: “Procedural Modeling of Architectonic Shapes: An Approach Focused on Structural and Ornamental Variations”. Parallel to his research, Lourenço has served as a teaching assistant at IST. He previously supported the M.Sc. level 'Advanced Programming' course in CSE, delivering labs on topics such as reflection and meta-programming, and the M.Arch. level 'Design Programming and Computing' course in Architecture, focusing on AD and CD methods, including geometric modeling through scripting-based generative design techniques. Currently, Lourenço's main research scope lies in Computer Graphics (CG), Machine Learning (ML), and Physics-Based Simulations, and he has recently begun his research on ML-based approaches to optimize collision detection interactions between smooth convex shape pairs. Passionate about interdisciplinary research and the transformative potential of integrating technology across fields, Lourenço is committed to exploring both theoretical and practical dimensions of emerging scientific and technological challenges—with particular interest in CG and ML.