معرفی
Jose Sousa is a Research Team Leader of the Personal Health Data Science Group at SANO and former Manager of the Advanced Informatics Core Technology Unit in Queen's University Belfast's Faculty of Medicine, Health and Life Sciences (FHMLS). He holds a PhD from the University of Minho, Portugal, focusing on complex network models for software-requirements alignment. His research spans AI applications in public health, pandemic response (e.g., Northern Ireland's COVID-19 initiatives), genetic modeling, and socio-technical systems analysis. He collaborates with HDRUK, the DEMON Network, and CLAIRE AI, driving AI-driven healthcare innovations.
Educations: PhD in Complex Network Models (University of Minho, 2012); prior roles include Information Systems Director at I3S (University of Porto) and IT infrastructure management. His work bridges computer science with healthcare, emphasizing AI's role in non-communicable diseases and public health crises.
Research interests include machine learning robustness, healthcare decision support systems, and AI ethics. His recent publications explore feature stability in limited data, early disease classification tools (e.g., CACTUS for macular degeneration), and pandemic adaptability modeling. Collaborations span international health centers and AI consortia, reflecting his interdisciplinary approach to solving complex health challenges.
Notable contributions include developing self-learning AI models for pandemic data analysis and advancing genotype-phenotype correlations in age-related macular degeneration. His work emphasizes translating technical innovations into actionable public health strategies.
