Nina Weng is a third-year PhD student at the Section for Visual Computing (VisComp), Technical University of Denmark (DTU), advised by Aasa Feragen and Siavash Bigdeli. Her research focuses on algorithmic fairness in medical imaging, with interests in bias assessment and reasoning, counterfactual generation, shortcut learning detection, and bias mitigation. She aims to build fair, transparent, trustworthy, and responsible AI tools.