Nate Chambers

Nate Chambers is a Professor in the Department of Computer Science at the United States Naval Academy (USNA), where he also serves as Co-Director of the Center for High Performance Computing. His research spans natural language processing, machine learning, and the understanding of events and commonsense reasoning in large language models. He has received significant recognition, including the 2020 Faculty Award for Excellence in Research at USNA and a Best Paper Award at the WNUT Workshop.

Education

• Ph.D. in Computer Science, Stanford University (2011)
• M.S. in Computer Science, University of Rochester (2003)
• B.S. in Computer Science, University of Rochester (2002)

Research Interests

Nate Chambers focuses on advancing the field of natural language processing through innovative applications of machine learning. His work delves into how large language models can understand and reason about events, temporal dependencies, and commonsense knowledge. He is particularly interested in adversarial inputs to these models and their implications for cybersecurity and ethical AI, especially in combating human trafficking.

Teaching and Mentorship

At USNA, Nate teaches courses such as Natural Language Processing and Data Science and Programming. He is actively involved in curriculum development, having contributed to the new Data Science major. He welcomes undergraduate students interested in research topics ranging from large language model semantics to information extraction.

Leadership and Service

• Chair of the USNA Committee on Generative AI
• Organizer for the Summer Faculty Workshop on Generative AI
• Chair of the Data Science Electives Committee