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Lanlan Yan is a PhD student engaged in research that focuses on understanding human decision-making processes through the integration of choice process data. His work emphasizes interpretability and information fusion, which are vital in enhancing the predictive capabilities of decision-making models. He is currently involved in a project aimed at effectively combining various data sources to extract insights and generate comprehensive reports that elucidate service usage patterns. This research is expected to contribute significantly to the fields of behavioral science and data analytics, offering valuable perspectives on how individuals make choices based on different informational contexts.
Technical University of Denmark • Kongens Lyngby, Denmark
Conducting research on decision-making processes and data analytics.
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.