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Georgina Petropoulou
Georgina Petropoulou, BSc, MSc, PhDcPhD Candidate at the Representational Intelligence in Intensive Care Lab | riic.ai

Comprehensive Center for Artificial Intelligence in Medicine, Department of Anaesthesia, Intensive Care Medicine and Pain Medicine (Clinical Division of General Anaesthesia and Intensive Care Medicine)
Position: PHD Student

dimitra.petropoulou@meduniwien.ac.at

Further Information

Keywords

Artificial Intelligence; Biomedical Engineering; Intensive Care Units; Knowledge Management

Research interests

    Georgina Petropoulou is a PhD Researcher at the Medical University of Vienna, specializing in Representational Intelligence in Intensive Care Medicine. Her career spans several institutions, most recently including CERN, where she engineered Monte Carlo simulations and Kafka-based data pipelines for high-energy physics with the strategic goal of translating these models into nuclear medicine, radiopharmaceuticals, and radiotherapy planning. At King’s College London, Georgina conducted research into machine learning-enabled assessments of neonatal cortical brain development, utilizing MRI to identify biomarkers for novel neuroprotective treatments and automated disease diagnosis, following her MSc in Medical Engineering and Physics with Distinction. Her experience in generative and diffusion models was further refined at Imperial College London, focusing on complex medical image segmentation across MRI, CT, and X-ray modalities. With additional research foundations from University College London (UCL) and years of industrial innovation—paired with collectively winning the 2023 Technological Innovation Edison Award for developing AI products from scratch—Georgina is dedicated to bridging the gap between AI, medical engineering, and life-saving clinical applications.