Tanja Käser

Tanja Käser is a Tenure Track Assistant Professor at EPFL's School of Computer and Communication Sciences (IC), leading the Machine Learning for Education Laboratory (ML4ED). Her interdisciplinary research bridges machine learning, data mining, and educational technology, focusing on personalized learning systems and human behavior modeling.

• PhD in Computer Science (ETH Zurich, 2015) - honored with Fritz Kutter Award
• Former Senior Data Scientist at Swiss Data Science Center (ETH Zurich)
• Postdoctoral Researcher at Stanford University's Graduate School of Education

Research Focus

• Explainable AI for education
• Adaptive learning environments
• Behavioral pattern recognition
• Generative AI applications in pedagogy
• User modeling and personalization
• Learning analytics in unstructured settings

Recent Publication Trends

Her 2024-2023 work demonstrates:

• Interpretable clustering of learners
• Transformer-based language learning prediction
• GAN applications for creative education
• Teacher-AI collaboration frameworks
• Explainability validation methods
• Modular network architectures

Scientific Recognition

• Fritz Kutter Award for best Swiss computer science thesis (2015)

Advising & Collaborations

Currently supervises multiple PhD students including:

• Cock Jade Maï L
• Glandorf Dominik
• Güres Fatma-Betül
• Neshaei Seyed Parsa
• Radmehr Bahar
• Shibu Abhinand
• Shved Ekaterina

Research Infrastructure

Operates from EPFL's ML4ED laboratory with hybrid on-site and digital educational systems research capabilities.