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Teresa Dorszewski is a PhD student at the Technical University of Denmark (DTU), specializing in research areas that intersect machine learning and explainability. Her current research, guided by main supervisor Richard Petersens and co-supervisor K. Wickström, focuses on the generation of insights and reports through advanced data processing techniques. Teresa is actively engaged in projects that explore the boundaries of machine learning applications within various contexts, enhancing the understanding of service usage and information access across devices. In her role, she effectively collaborates with peers and contributes to knowledge dissemination through academic publications and presentations. Her commitment to research is complemented by a solid academic foundation in data science and engineering disciplines.
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.