Abigail Swenor supports patent prosecution involving a broad range of computer science technologies, with particular experience in artificial intelligence, machine learning, and software.
While completing her master's degree in computer science and engineering, Abigail served as a graduate research assistant at the University of Notre Dame. Her research explored novel machine learning and natural language processing (NLP) methodologies, including the design and evaluation of computational pipelines for analyzing complex textual data. Working alongside a team of interdisciplinary collaborators, she developed a strong ability to communicate complex technical concepts to nontechnical audiences.
Abigail's technical expertise spans a range of computer science fields, including:
Artificial intelligence
Machine learning
Deep learning and neural networks
Natural language processing
Large language models and language modeling
Adversarial machine learning
Software development and programming
Computer systems and databases
When she's not at work, Abigail enjoys playing tennis, knitting, cooking for friends and family, and spending time with her dog.