Joel Lamy Poirier is an applied research scientist in the Emerging Technologies Lab at ServiceNow Research. He has experience in various fields of AI, including computer vision and natural language processing.
Joel focuses on efficient implementations of deep neural networks, particularly on large-scale distributed training and large language models. He recently proposed a new form of 3D parallelism, which improves the state of the art in scalability and computational efficiency.
