Joint Autumn School 2017

Machine learning applied to systems biology

Do you have more data than you know what to do with? Would you like to learn how to find interesting patterns in it? Machine learning is a useful tool for finding hidden structure in large data sets, and can help towards making accurate predictions. For example, you can use genome sequence data to classify samples into groups (e.g. ecological conditions, bacterial species, tumor types or outcomes), or to identify motifs in sequence data (e.g. transcription factor binding sites).

The SIB Swiss Institute of Bioinformatics and are jointly organizing an autumn school to educate PhD students and postdocs in cutting-edge machine learning methodologies relevant to systems biology and bioinformatics. The school will provide a general overview of machine learning methods, and applications to particular topics as well as hands-on exercises. One of the days will be devoted to participant presentations and a social activity.

General information

Dates: November 19-24, 2017
Venue: Hotel & Bildungszentrum Matt, Schwarzenberg, Switzerland
Target audience: PhD students and postdocs with basic knowledge of machine learning and good programming skills (Python and R)
Registration: The deadline for pre-registration is October 15. Please note that accepted participants will receive a registration confirmation.
Registration fee: For PhD students and postdocs CHF 200 (including full board accommodation)


Dr. Eavan Dorcey
Scientific Coordinator
Clausiusstr. 45, CLP D 7
CH - 8092 Zurich 
phone +41 44 632 74 23
fax +41 44 632 15 64

Autumn School 2017

Organized by:

Past Summer/Autumn Schools
20152014 / 20132011 / 2010