Tanja Christina Käser Jacober

Tanja Käser is an assistant professor at the EPFL School of Computer and Communication Sciences (IC) and head of the ML4ED laboratory. Her research lies at the intersection of machine learning, data mining, and education. She is particularly interested in creating accurate models of human behavior and learning.Prior to joining EPFL, Tanja Käser was a senior data scientist with the Swiss Data Science Center at ETH Zurich. Before that, she was a postdoctoral researcher with the AAALab at the Graduate School of Education of Stanford University.Tanja Käser received her PhD degree from the Computer Science Department of ETH Zurich. In her dissertation, completed at the Computer Graphics Laboratory, she focused on user modeling and data mining in education, which was honored with the Fritz Kutter Award 2015. Teaching & PhD PhD Students Bahar Radmehr, Marta Knezevic, Seyed Parsa Neshaei, Ekaterina Shved, Fares Fawzi, Abhinand Shibu, Dominik Glandorf, Fatma-Betül Güres Past EPFL PhD Students Paola Mejia, Vinitra Swamy, Jade Maï Cock Courses Digital education CS-411 This course addresses the relationship between specific technological features and the learners' cognitive processes. It also covers the methods and results of empirical studies: do student actually learn due to technologies? In fall 2025, P. Dillenbourg will co-teach this class for the last time. Machine learning for behavioral data CS-421 Computer environments such as educational games, interactive simulations, and web services provide large amounts of data, which can be analyzed and serve as a basis for adaptation. This course will cover the core methods of user modeling and personalization, with a focus on educational data. Topics in Machine Learning for Education CS-702 This seminar course covers the interdisciplinary field of machine learning for education. By reading, reviewing, and presenting research papers from recent venues, students will become familiar with core issues and techniques in the field Awards Credit Suisse Award for Best Teaching 2023 2023