Graphical models have become a powerful tool in modern statistics, machine learning, data science, and artificial intelligence, enabling researchers and practitioners to model complex and high-dimensional systems where relationships between variables can be represented through graphs. This talk will give a brief introduction to the methods, theoretical foundations, and practical applications of statistical graphical models, covering both core concepts and recent advancements in the field.