EDCB

Computational and Quantitative Biology The program offers students a multidisciplinary education at the intersection of biology with quantitative sciences and computation to become the future generation of quantitative life scientists.

Students with interest and skills in computation and quantitative subjects will address the emerging questions in biology dealing with the mechanistic comprehension of living processes and the interpretation of big amounts of data.

The combination of coursework, the development and application of computational methods to biological questions, in-house seminars, and national and international conferences, etc. form the basis of this education.

The program’s themes include:

• Applied mathematics
• Biochemistry
• Bioinformatics
• Biophysics
• Computational neurosciences
• Developmental biology
• Digital epidemiology
• Genomics and functional genomics
• Machine learning
• Microbiology
• Neural data science
• Protein design
• Structural biology
• Systems biology

The EPFL provides substantial hardware infrastructure and computational expertise to operate at the forefront of computational and quantitative biology.

Published theses

Awards

EPFLglobaLeaders

The EPFL Doctoral School will soon launch two calls for applications for EPFLglobaLeaders, a new doctoral fellowship programme funding early stage researchers to become leaders in the transition towards sustainable societies. Forty-eight doctoral fellows will benefit from a multifaceted training programme, including a secondment in the non-academic sector. More information: https://go.epfl.ch/EPFLglobaLeaders  

Upcoming public defense