Axel Gyllenhoff - Patent Agent

Axel Gyllenhoff is a Patent Agent whose work focuses on the review and evaluation of technology involving machine learning and artificial intelligence, with particular emphasis on adversarial machine learning, privacy, security, and model robustness.

During his master’s research at the University of Virginia, Axel quantified information leakage in data-sharing settings in the wind turbine industry by developing predictive models and applying distribution inference attacks. He also served as a Graduate Teaching Assistant for Discrete Mathematics and Theory II at the University of Virginia.

Prior Experience

• University of Virginia Security Research Group, Masters Research Assistant, 2024-2025
• University of Virginia Discrete Mathematics and Theory II, Masters Teaching Assistant, 2024-2025
• Machine Learning Intern, Expedition Technologies, 2024