Dr. Lai is a Research Scientist and Tech Lead on Sony AI’s Music Foundation Model Team, where he focuses on deep generative modeling and robustness, with particular emphasis on the theoretical foundations of diffusion models in collaboration with Prof. Stefano Ermon. He also serves as a Visiting Assistant Professor in the Applied Mathematics Department at National Yang Ming Chiao Tung University, working with Prof. Ming-Chih Lai to supervise students and advance research in deep learning methods for partial differential equations.
His current research focuses on advancing diffusion models, including improving sample quality and diversity, accelerating sampling, and enabling controllable generation. He is also interested in inverse problems through the use of generative models. In addition, he explores mathematically explainable AI, seeking to elucidate the underlying mechanisms of artificial intelligence through rigorous mathematical frameworks.

Dr. Giraldo is an Assistant Professor at Télécom Paris, Institut Polytechnique de Paris, where he conducts research within the Information Processing and Communications Laboratory (LTCI) as part of the Multimedia team. His research interests span the fundamentals and applications of Geometric Deep Learning, including Graph and Simplicial Neural Networks, along with Generative AI, Computer Vision, Machine Learning, and Graph Signal Processing. His work covers a wide range of topics such as image and video processing, supervised and semi-supervised learning, and sampling and reconstruction of graph signals. Dr. Giraldo received his Ph.D. in Applied Mathematics from La Rochelle Université, Laboratoire MIA, France, in 2022. During his doctoral studies, he was a visiting Ph.D. student at the Centre de Vision Numérique (CVN), Inria OPIS at CentraleSupélec, Université Paris-Saclay in 2022, and a visiting scholar at the Università degli Studi di Napoli Parthenope, Italy, working with the CVPR Lab “Alfredo Petrosino” in 2021.