Dr. Tanja Käser

Assistant Professor

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Biography

Tanja Käser is an Assistant Professor at the École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences. She leads the ML4ED laboratory, focusing on the intersection of machine learning, data mining, and education. Her research primarily aims to create precise models of human behavior in learning environments. Prior to her appointment at EPFL, Käser worked as a Senior Data Scientist at the Swiss Data Science Center affiliated with ETH Zurich, and completed a postdoctoral research stint at the AAALab within the Graduate School of Education at Stanford University. She earned her PhD in Computer Science from the Department of Computer Science at ETH Zurich, where her dissertation, conducted in the Computer Graphics Laboratory, centered on user modeling and data mining in education. Her work has received recognition, including the Fritz Kutter Award in 2015.

Research Interests

Experience

Senior Data Scientist

— Present

Swiss Data Science Center • Zurich, Switzerland

Worked on data science projects involving machine learning and data analysis.

Postdoctoral Researcher

— Present

AAALab, Stanford University • Stanford, CA, USA

Conducted research in educational technology and user modeling.

Awards

#

Fritz Kutter Award

2015-01-01

Requirements for École Polytechnique Fédérale de Lausanne

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a related field Strong foundation in Calculus, Linear Algebra, and Probability Proficiency in programming (Python, Java, or C++)
Application Checklist
  • Curriculum Vitae
  • Copy of University Degree(s)
  • Official Transcripts
  • Statement of Purpose
  • Copy of Passport or Identity Card
  • Three Letters of Recommendation
  • Proof of English Proficiency
Specialization Notes

Standard requirements for Engineering and Basic Science Master's programs. Architecture requires an additional portfolio.