Braden Webb
Braden Webb
Biography
Braden Webb graduated from Brigham Young University with a BS in mathematics and minors in computer science, linguistics, and formal logic. While there, he conducted undergraduate research in natural language processing on the use of large-scale language models for procedural content generation in role-playing game environments and on the influence of language family tags on low-resource multilingual neural machine translation systems. His diverse interests range from deep learning, algorithm design, and theoretical computer science to Slavic linguistics, computational musicology, and philosophy. His projects at Pacific Northwest National Laboratory have involved graph analytics and semantic clustering algorithms. Webb is originally from Ohio. He went to school in Utah. He and his wife live in Boston.
Research Interest
- Deep Learning
- Natural Language Processing
- Information Retrieval
- Information Geometry
Disciplines and Skills
- C++
- Deep Learning
- Java
- LaTeX
- Machine Learning
- Machine Translation
- Natural Language Processing
- PostgreSQL
- Python
- SQL
Education
BS, Mathematics, Brigham Young University
Publications
2023
Rounak Meyur, Sumit Purohit, Braden Webb. 2024. “Fortify Your Defenses: Strategic Budget Allocation to Enhance Power Grid Cybersecurity”. The AAAI-24 Workshop on Artificial Intelligence for Cyber Security, Feb 26, 2024, Vancouver, Canada. https://arxiv.org/abs/2312.13476
Trevor Ashby, Braden K Webb, Gregory Knapp, Jackson Searle, and Nancy Fulda. 2023. “Personalized Quest and Dialogue Generation in Role-Playing Games: A Knowledge Graph- and Language Model-based Approach”. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 290, 1–20. https://doi.org/10.1145/3544548.3581441