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.

For applicants

For PhD Students