Simone Stumpf

Simone Stumpf is a Professor at City, University of London, specializing in Human-Computer Interaction with a focus on explainable AI, accessibility technologies, and gender-inclusive design. Her research spans multiple domains including health informatics, assistive technologies, and digital systems for people with disabilities.

Dr. Stumpf's research interests center around making technology more accessible, understandable, and inclusive. She has pioneered work in explainable AI systems that help users understand how AI makes decisions, particularly for vulnerable populations. Her work on gender-inclusive design has led to the development of the GenderMag method, which has been widely adopted in the field. She also conducts significant research in accessibility technologies, particularly for people with visual impairments and those living with chronic conditions like HIV and Parkinson's disease.

Her publication record shows a strong trend toward designing systems that prioritize user understanding, trust, and control. Recent work focuses on digital mental health interventions, particularly for Parkinson's disease, and on developing frameworks for trustworthy data sharing among people with long-term health conditions. Her research consistently emphasizes the importance of user-centered design in complex AI and health technology systems.

Dr. Stumpf has supervised numerous PhD students and collaborated extensively with researchers across disciplines including computer science, health sciences, and social sciences. Her work has been supported by various research grants focused on human-centered AI and accessible technology development.

She leads research in the areas of explainable AI and inclusive design, working with interdisciplinary teams to develop technologies that address real-world challenges in health, accessibility, and everyday computing. Her lab focuses on user studies, system development, and theoretical frameworks for understanding human-AI interaction.