Michael C. Gastpar

INR 130 (Bâtiment INR)
Station 14
CH-1015 Lausanne

Web site:  Web site:  https://linx.epfl.ch/

Data Analytics Group
c/o EPFL - AVP - SAO
CE 1 631 (Centre Est)
Station 1
CH-1015 Lausanne

Administrative data

Fields of expertise

Information Theory
Signal Processing
Systems Neuroscience


Selected publications

Teaching & PhD


Communication Systems

Computer Science

PhD Programs

Doctoral program in computer and communication sciences

Doctoral Program in Neuroscience


Advanced information, computation, communication II

Text, sound, and images are examples of information sources stored in our computers and/or communicated over the Internet. How do we measure, compress, and protect the informatin they contain?

Foundations of Data Science

We discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introductory ML course. In particular we discuss fundamental ideas and techniques that come from probability, information theory as well as signal processing.

Advanced Topics in Information Theory

The class will focus on information-theoretic progress of the last decade. Topics include: Network Information Theory ; Information Measures: definitions, properties, and applications to probabilistic models.