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Victoria Blanes-Vidal is a Professor at the University of Southern Denmark, specializing in Applied Artificial Intelligence and Data Science. Her research interests encompass a wide array of disciplines including Data Science, Biostatistics, Epidemiology, and Machine Learning. She has contributed significantly to the field of medical informatics, focusing on areas such as cardiovascular diseases, diabetes, cancer screening, and environmental epidemiology. Victoria is known for her work on predictive modeling and early detection methodologies in health-related contexts. Additionally, she has served as a visiting researcher at renowned institutions such as Harvard University and has been involved in editorial activities for scientific journals. With a commitment to enhancing public health through innovative data analysis and research, she actively collaborates with both national and international research networks. Her impressive portfolio includes participation in consultative roles and various projects aligned with the Ministry of Foreign Affairs of Denmark. Victoria's contributions to academic discourse extend beyond the classroom, as she takes part in peer reviewing for various journals and actively engages with media to disseminate knowledge on pressing health issues.
University of Southern Denmark • Odense, Denmark
Requirements are standardized for English-taught Master's programs across Science, Engineering, and Social Science departments. Some programs may require a higher GPA for restricted admission.