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Carolina Barra Quaglia is an Associate Professor specializing in Protein Immunoinformatics at the Technical University of Denmark. Her research contributes to various UN Sustainable Development Goals, focusing on innovative uses of artificial intelligence and machine learning in bioinformatics. She has supervised multiple PhD projects centered around areas such as T Cell Immunoinformatics and molecular binders. Her work not only aims at advancing scientific knowledge but also seeks practical applications that benefit global health and sustainability. Quaglia has a strong collaborative network, engaging with students and colleagues across disciplines to tackle complex scientific challenges. Additionally, her research includes the identification of protein patterns that influence autoimmunity and the optimization of plant-based starter cultures through AI. With several ongoing and completed projects, she is actively contributing to the field of computational biology and immunology.
Technical University of Denmark • Kgs. Lyngby, Denmark
Teaching and conducting research in Protein Immunoinformatics.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.