Aude Billard

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Full Professor

aude.billard@epfl.ch +41 21 693 54 64 http://lasa.epfl.ch/

Citizenship : swiss

EPFL STI IMT LASA
ME A3 393 (Bâtiment ME)
Station 9
CH-1015 Lausanne

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

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Administrative data

Fields of expertise

Machine Learning 
Robotics 
Mechatronics 
Dynamical Systems
Computational Neuroscience

Professional course

Full Professor

EPFL

2013

Associated Professor with Tenure

EPFL

2006-2012

Assistant Professor

EPFL

2002-2006

Assistant Professor

University of Southern California

2000-2002


Education

PhD

Artificial Intelligence

University of Edinburgh

1998

MSc

Knowledge-Based Systems

University of Edinburgh

1996

BSc & MSc

Physics

EPFL

1995


Awards

Intel Corporation

SNSF Professeur Boursier

The Outstanding Young Person in Science and Innovation

Teaching & PhD

Teaching

Microengineering

Mechanical Engineering

PhD Programs

Doctoral Program in Electrical Engineering

Doctoral program in robotics, control, and intelligent systems

Doctoral Program in Neuroscience

Doctoral Program Digital Humanities

Doctoral Program in Biotechnology and Bioengineering

Courses

Machine learning programming

This is a practice-based course, where students program algorithms in machine learning and evaluate the performance of the algorithm thoroughly using real-world dataset.

Robotics practicals


Applied machine learning

Real-world engineering applications must cope with a large dataset of dynamic variables, which cannot be well approximated by classical or deterministic models. This course gives an overview of methods from Machine Learning for the analysis of non-linear, highly noisy and multi dimensional data

Advanced machine learning