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Tommy Sonne Alstrøm is an Associate Professor at the Technical University of Denmark, specializing in machine learning and signal processing. He has a background in engineering and applied mathematics, having earned his Master of Science and Bachelor of Science degrees from DTU. His research interests encompass diverse areas related to machine learning, particularly in applications improving hearing aid performance and molecular discovery. He supervises PhD students and has been involved in various collaborative projects focused on federated learning, Causal explainability for time series data, and Bayesian neural networks. Alstrøm has also contributed to academic discussions through conference presentations and has a notable presence in datasets related to road condition modeling. He is fluent in English and Danish and has a basic understanding of German. His work significantly contributes to addressing the United Nations Sustainable Development Goals, particularly in education and technology.
Spectronic Denmark A/S • Denmark
Worked as a software engineer developing applications.
Brüel Kjaer Sound Vibration • Denmark
Responsible for software engineering tasks in sound and vibration analysis.
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.