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Anders Gjølbye Madsen is a PhD student at the Technical University of Denmark. His research is centered around Trustworthy Artificial Intelligence in healthcare. Engaging in innovative projects, he is actively contributing to the development of methods and systems that enhance the reliability and effectiveness of AI applications in medical settings. Madsen works under the supervision of Dr. Weichwald, focusing on causal approaches to AI. Through his work, he aims to foster advancements that ensure AI systems are not only accurate but also ethical and trustable for use in healthcare. His contributions to the field highlight the importance of creating AI solutions that are comprehensible and beneficial to society, addressing both technical challenges and ethical considerations in AI deployment. Madsen's ongoing research reflects a commitment to interdisciplinary collaboration and knowledge sharing.
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.