Nina Hubig
Research group:
Dr. Nina Hubig’s research group at IT:U is at the forefront of Explainable and Trustworthy AI, pioneering cutting-edge solutions that bridge machine learning, healthcare, and ethical AI. With a strong focus on transparency, fairness, and interpretability, the group develops AI models that not only drive innovation but also ensure reliability in critical applications, from medical diagnostics to real-time decision-making systems.
By combining deep learning, natural language processing, and network science, the team pushes the boundaries of AI-driven insights while maintaining human-centered design principles. Collaborating with industry partners, research institutions, and healthcare experts, Dr. Hubig’s group transforms AI from a black-box technology into a trustworthy, explainable, and actionable tool for real-world challenges.
Through a mix of academic excellence, interdisciplinary collaboration, and entrepreneurial mindset, the research group is shaping the future of AI—where algorithms are not just powerful but also accountable, ethical, and user-centric.
Short bio:
Dr. Nina Christine Hubig is an Assistant Professor at IT:U, renowned for her pioneering work in Explainable Artificial Intelligence (XAI) within healthcare and data science. With a Ph.D. from the Technical University of Munich, she has significantly advanced AI transparency in critical applications, including medical data processing and social network analysis. Before joining IT:U, Dr. Hubig spent five years at Clemson University’s School of Computing and Biomedical Data Science Program, where she integrated deep learning models into practical systems such as real-time flood detection and biomedical applications. Her extensive expertise in machine learning, explainability, and fairness in AI positions her as a leading figure in developing trustworthy AI solutions. At IT:U, Dr. Hubig continues to drive innovation, mentoring projects that bridge AI with medical text processing and natural language understanding, thereby shaping the future of transparent and ethical AI technologies.
“Shaping the future with disruptive technology and awakened minds”
Nina Hubig