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Thea Brüsch is a PhD student at the Technical University of Denmark, focusing on research areas related to causal explainability in time series analysis and road condition modelling. Her work actively contributes to the UN Sustainable Development Goals, addressing significant environmental and societal issues. She has collaborated with multiple researchers on various projects aimed at understanding and improving road conditions through innovative data-driven approaches. Thea's primary research projects involve creating datasets that utilize advanced car sensor data for modelling various road assessments. She is engaged in active collaborations within Europe and has presented a strong dedication to her academic pursuits and contributions to sustainable development.
Technical University of Denmark • Lyngby, Denmark
Conducting research on causal explainability and road condition modelling as part of a PhD program.
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.