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.


Application deadlines: April 15th & November 1st

  • How to apply
  • Available PhD Positions
PhD Students
  • Internal forms and regulations
  • Course book
  • Scholarship and Award opportunities
  • PhD Theses
  • ADSV Life Science PhD Student’s Association
Program Members and Institutes



Please make sure we are available before coming to our offices.

Tuesday, Wednesday and Friday

Direction : Matteo Dal Peraro

Office : AAB 0 48

Phone :  41 21 69 31861

Mail : [email protected]

Administration : Cathy Buchs

Office : ELG 241

Phone :  41 21 69 3 78 82

Mail : [email protected]

Mailing Address 

EPFL EDCB program
ELG 241
CH-1015 Lausanne

[email protected]