Adam Machowczyk, a PhD student at the University of Leicester, specializes in graph rewriting and machine learning. He reveals how graph rewriting can enhance model adaptability, particularly in guiding machine learning for complex tasks. Topics include the transformation of graph structures for improved recommendations in social networks and its applications in chemistry and IoT analysis. Adam illustrates the shift from traditional data representation to dynamic graph systems, showcasing real-world implications and the future of scalable adaptive models.