Martina Dossi is a member of the Visualization and Graphics (VIG) Group, where she develops Visual Analytics (VA) solutions for the VR4eVR project. Her research interests lie in how VA techniques can enhance the accessibility and transparency of AI models throughout their life cycle, from early data exploration to model explainability and real-world deployment.

Within VR4eVR, Martina designs and implements VA systems to analyze complex data from patients undergoing rehabilitation for hemianopia, a form of partial blindness often caused by stroke. This data, collected through Virtual Reality training programs, includes eye-tracking metrics, task progression, and success rates. Her goal is to support occupational therapists and medical professionals in monitoring patient progress and improving rehabilitation outcomes.

Prior to joining Utrecht University, Martina studied Statistics and worked as a Data Scientist in the financial sector, first at the European Central Bank and later at Prometeia, a consultancy firm.