Tanja Käser

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

Teaching

Communication Systems

Computer Science

PhD Students

Cock Jade Maï L, Glandorf Dominik, Güres Fatma-Betül, Mejia Domenzain Paola, Neshaei Seyed Parsa, Radmehr Bahar, Shibu Abhinand, Shved Ekaterina,

Past EPFL PhD Students

Swamy Vinitra ,

Courses

Advanced information, computation, communication I

Discrete mathematics is a discipline with applications to almost all areas of study. It provides a set of indispensable tools to computer science in particular. This course reviews (familiar) topics as diverse as mathematical reasoning, combinatorics, discrete structures & algorithmic thinking.

Machine learning for behavioral data

The users of computer environments such as intelligent tutoring systems, interactive games, and web services are often very heterogeneous and therefore it is important to adapt to their specific needs and preferences. This course will cover the core methods of adaptation and personalization, with a focus on educational data. Specifically we will discuss approaches to the task of acc

Topics in Machine Learning for Education

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