Daniel Campos is a Ph.D. candidate in Computer Science working in the blender lab. He is a Gener Gloub Fellow (2020 –2021). Daniel’s research interests are information understanding, efficient AI, and the usage of efficient Natural Language Processing Systems to understand human knowledge. Daniel seeks to build systems that can understand the documents people care about and help them use this information in other facets of their lives. To enable designing these systems, he seeks to improve information extraction, information retrieval on diverse inputs while remaining computationally efficient.