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Teun Janssen is a professor at Delft University of Technology, specializing in the field of statistics and data-driven decision-making. His research is primarily focused on the development of methods and computational techniques to facilitate robust and efficient statistical inference. Teun has a vast experience in the analysis of large datasets and has contributed significantly to the field through various publications and projects. He emphasizes the importance of interdisciplinary approaches in statistics, integrating concepts from machine learning, data science, and traditional statistical methods. Teun is deeply involved in mentoring students and developing curriculum to prepare the next generation of statisticians and data scientists. His work has been recognized internationally, leading to collaborations with industry partners and participation in numerous conferences where he shares his findings. Teun's commitment to advancing the field of statistics while ensuring accessibility and applicability in real-world scenarios makes him a leading figure in his area of expertise.
Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.