Haibin Di is a Senior Data Scientist in Data & AI Platform at SLB. Since joining Schlumberger (now SLB) in 2018, he has been focusing on practical adoption of the state-of-the-art deep learning techniques into the subsurface domain to resolving various challenges in data processing, interpretation and integration. His current focus is on leading domain foundation model development, benchmarking and deployment.
Dr. Chao Song is a professor at Jilin University whose research focuses on scientific machine learning and seismic imaging methods. His work develops physics-informed and neural operator-based methods for wavefield simulation and inversion, with applications to large-scale subsurface imaging. He received the J. Clarence Karcher Award from SEG in 2024 and the Arie van Weelden Award from EAGE in 2025.