Hello! I’m a AI research computer scientist at the Air Force Research Lab. I am interested in robust and secure machine learning, domain generalization and adapatation, and human-facing collaborative AI systems.

News

[July 2024] I presented our work investigating the cognitive flexilibity of LLMs at the International Conference of Machine Learning Workshop on Large Language Models and Cognition in Vienna, Austria.

[July 2024] I presented our work on integrating cognitive models of human perception and vision transformers for adversarial robustness at the International Conference of Cognitive Modeling at Tilburg University, the Netherlands.

[December 2023] Ryan McCoppin presented our work on evaluating adversarial robustness at the IEEE International Conference on Machine Learning and Applications (ICMLA).

[August 2023] For the second year in a row, the 711th Human Performance Wing selected me to mentor an intern over the summer. Goonmeet Bajaj, a Computer Science and Engineering PhD candidate at the Ohio State University, worked with us on addressing knowledge gaps in visual question answering sytems. She also worked with us on leveraging LLMs for cognitive architectures and presented this work at the AAAI Fall Symposium Series on the Integration of Cognitive Architectures and Generative Models.

[April 2023] I received a DoD SMART Retention Scholarship. I will be starting fall 2023 at the University of Wisconsin - Madison in the Computer Science PhD program.

[August 2022] The 711th Human Performance Wing awarded a summer internship to Dante Miller, a Computer Science PhD student at Rice University, who I mentored on a research project focussed on Case Based Reasoning for Explainable AI in a Clinical Domain.

[July 2022] I attended ICML 2022 in Baltimore and presented a blue sky idea on human-in-the-loop implications for robust ML.