Tom Viering

Tom Viering serves as an Assistant Professor in the Pattern Recognition and Bio-Informatics research group at TU Delft's Faculty of Electrical Engineering, Mathematics & Computer Science, where he coordinates and teaches in the university's AI minor program. After completing his MSc in Computer Science Media Knowledge Engineering at TU Delft, he earned his PhD focusing on explainability, active learning, and learning curves. His research interests span theoretical machine learning topics, including statistical learning theory, active learning, and domain adaptation. As an educator, he has developed several courses from scratch, including 'Introduction to Machine Learning' and 'Capstone Applied AI project,' and co-created MOOCs on Supervised Machine Learning. His innovative teaching approach incorporates interactive Python widgets to enhance student understanding, and he actively works on developing open education materials for machine learning. Beyond teaching, his research contributions include significant work on learning curve patterns, generalization bounds, and the relationship between data quantity and performance in machine learning systems. He has published extensively in prestigious venues, with his work on learning curves, active learning, and AI safety gaining notable recognition in the academic community. As coordinator of the AI minor program, which launched in 2021, he plays a crucial role in making AI education accessible to engineers across various disciplines at TU Delft.