M.Sc. Bryand Javier García Sigales is a Lecturer at the Faculty of Chemistry, Universidad Autónoma del Carmen (UNACAR). He is currently pursuing his PhD studies and conducting research in Process Optimization, particularly in topics related to gas separation, artificial intelligence, and computational modeling. His recent projects include the development of predictive and hybrid intelligent models for industrial process optimization, as well as computational simulations of membrane separation systems. He has prepared technical reports and academic contributions on applied data science and process engineering. His teaching disciplines include Business Intelligence, Data Science, and Process Optimization, and his research interests focus on Artificial Intelligence, Computational Modeling, and Industrial Process Optimization.