Alejandro Vega Escobar is a Ph.D. candidate in Forest Sciences at the Université du Québec en Abitibi-Témiscamingue (UQAT). He holds a Bachelor's degree in Forest Engineering from the Universidad de Talca in Chile, a Master's degree in Data Science from Universidad Adolfo Ibáñez, and a Master's in Industrial Engineering from Universidad del Desarrollo. His research focuses on the dynamics of carbon sequestration, forest road management, and reforestation strategies in boreal ecosystems. His work aims to enhance the sustainability of managed forest landscapes and their climate resilience by integrating machine learning, ecological modelling, and spatial optimization. Before pursuing his doctoral studies, Alejandro held technical and managerial positions at ARAUCO, where he led digital transformation initiatives and optimized transportation logistics in forestry operations. At the Institut de Recherche sur les Forêts (UQAT), he collaborates on applied research projects that bridge data science and forest ecology to support evidence-based decision-making in forest management. His findings directly contribute to implementing forest carbon strategies, providing scalable tools for sustainable infrastructure and reforestation planning.