Course Contents


The school provides a comprehensive and intuitive introduction to computational and algorithmic approaches to biological systems. Emphasis is placed on concepts, and jargon is avoided to the extent possible. Concepts will be demystified and explained intuitively through practical applications and hands-on experience.

Educational outcomes

The focus on biological systems is intended to allow participants to:

  • Transfer computational and theoretical knowledge to the life sciences
  • Identify and tackle challenges from big data to prediction in complex, multi-scale systems
  • Further develop their trans-disciplinary communication and learning skills
  • Formulate clear project and design data- and model-based approaches to them.
  • Get hands-on insight to emerging techniques from machine learning, artificial intelligence, visual computing, and scientific computing


In small interdisciplinary groups, participants carry out a research project throughout the whole week. The project is proposed and supervised by the school teachers, with the aid of tutors who help the groups and guide them with data.

In addition to lectures and project work, we host a series of evening talks by distinguished scientists from various fields related to systems biology. These talks are intended to provide an overview of the breadth of the field also beyond the specific topic of the school.


In the school, the project allow students to get in touch with the latest and greatest of:

  • augmented reality and virtual reality
  • machine learning
  • data-driven modeling / data science
  • image processing and computer vision
  • numerical simulation
  • parallel high-performance computing
  • graph and network science

and they will see applications of biological and medical relevance where these technologies make a difference, including:

  • how embryos develop
  • how the genome “boots up” 
  • how fertilized egg cells decide the head-tail axis
  • how transport networks in cells organize
  • how molecules and proteins behave mechanically
  • how material properties govern life

Poster Session

An initial poster session will be hosted in order for the participants to familiarize themselves with each other’s previous work and current research interests.

Posters (maximum size A0) may include information about any completed or ongoing research, regardless of the discipline or subject. Content may originate from Internship, Bachelor, or Master projects. Posters may also include personal background information (e.g. your origin, course of study, experiences, interests and/or motivation to join the school). We do not require any particular formatting - be creative!

Summer School

The planned 2021 summer school has unfortunately been cancelled.

Stay tuned for information on Summer 2022.