Marcelo F. N. Henriques (MSc.) is a researcher and leader of the Stochastic Modelling and Simulation team at CCG/ZGDV Institute, and an invited lecturer at the Department of Production and Systems (DPS) of the School of Engineering of the University of Minho in Simulation and Statistics courses. He has a BSc. in Automotive Engineering (2011), and a MSc. in Industrial Engineering (2016). During his Master’s Dissertation he developed work in Discrete Event Simulation (DES), modelling an elevator system. Since then, he has collaborated in several R&I projects applying DES on several industrial partners: an automotive supplier (2018), a wood-based products manufacturer (2023), and a packaging manufacturer (2025). He is currently developing his PhD. Thesis in usability on DES. Marcelo’s main current research topic is the role of DES in the Digital Twin (DT) era: how can DES contribute further to the DT, and how can DES take a central role in Decision Support Systems (DSSs) based on the Digital Twin. Aligned with this, Marcelo is also researching new methods to use open-source simulation solutions to induce DES on Small and Medium Enterprises (SMEs) and Public actors, as well as include and catalyze DES through the Digital Twin. Collaborate work has been developed to experiment with use of High-Performance Computing (HPC) to accelerate DES results, namely by accessing different HPC strategies. Over the years, Marcelo has published several scientific papers detailing his research work. As an invited lecturer, Marcelo has contributed to the Simulation (DES) courses to several Master’s students, Statistic fundamentals to Bachelor’s students, and the tutoring of some students on their Master’s Dissertation, and guiding them through their Junior research phase in some applied R&I projects. Marcelo has been awarded with three recognition prizes for his role as an invited lecturer: one from Students themselves, and another two by the School of Engineering at the University of Minho. At the CCG/ZGDV Institute, Marcelo has had the opportunity to contribute to transferring knowledge from academia to industry. His responsibilities include: heading the Stochastic Modelling and Simulation team, seek and validate new research opportunities, and developing new applications for funded R&I projects, as well as proposals to industry partners.