Dr. Yumeng Song is a Postdoctoral Researcher at Aarhus University, Denmark, and previously held a Postdoctoral position at Aalborg University. She earned her PhD in Computer Science and Technology from Northeastern University, China, following a Master's and Bachelor's degree from the same institution. Her research focuses on Machine Learning applications for Digital Twins, AI-driven Spatio-Temporal Analytics for Carbon Reduction, and Graph Neural Networks. Dr. Song has made significant contributions to these fields, publishing multiple papers in top-tier venues such as VLDB and TKDE. Actively engaged in the academic community, she serves as a Program Committee Member for IJCAI and reviews for leading journals, including IEEE TKDE, TIV, TII, and TASE.