|| School of Computer and Communication Sciences
|| Laboratory for Computational Biology and Bioinformatics
|| EPFL > IC > LCBB
Laboratory for Computational
Biology and Bioinformatics
Welcome to the website of the Laboratory for Computational Biology and
The Laboratory was started in June 2006 by Professor Bernard Moret. Our main area
of interest is the design of models and algorithms for problems arising in
biology, mostly evolutionary biology (phylogenetics) and genomics
(regulatory, comparative, and evolutionary genomics). We work mainly with
large-scale simulations, but we also make use of published data, including
most common databases in genomics and proteomics.
To design, implement, test, and assess models and
algorithms for discrete problems arising in evolutionary molecular
See the 2011 ACM Ubiquity interview with Prof. Moret on Experimental Algorithmics.
We regularly teach the Master's level courses Computational
Molecular Biology (Spring semesters, 5 EPFL credits) and Advanced
Algorithms (Fall or Spring semesters, 7 EPFL credits).
We occasionally teach the Bachelor's level course Theoretical Computer Science, the Master's level course Computational Geometry
and the PhD level course Theory of Computation (5 EPFL credits).
We have co-taught (with colleagues from the School of Life Sciences) courses in
Bioinformatics at both Master's and PhD level.
EPFL is consistently ranked among the top four (along with Cambridge U., Imperial College, and its sister institution ETHZ) in Europe
and among the world's top 20 in Engineering and Computer Science; see,