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Laboratory for Computational
Biology and Bioinformatics

 
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.

The Laboratory will close at end of 2016, as Prof. Moret will retire (after 36.5 years as a faculty member, first at the University of New Mexico, then at EPFL).

To celebrate the achievements of lab members and collaborators, and to thank major sources of inspiration, a 2-day scientific meeting, CLIMB (Colloquium on aLgorithms in Molecular Biology), will take place in Lausanne on Nov. 7-8, 2016, organized by lab members Daniel Doerr and Min Ye.



Objective
To design, implement, test, and assess models and algorithms for discrete problems arising in evolutionary molecular biology.

See the 2011 ACM Ubiquity interview with Prof. Moret on Experimental Algorithmics.

Courses

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.

About EPFL

EPFL is consistently ranked among Europe's top 5 (along with Cambridge and Oxford, Imperial College, and its sister institution ETHZ) and among the world's top 20 in Engineering and Computer Science; see, for instance, Keep in mind that most of these rankings vary wildly from year to year and tend to promote geographic diversity at the expense of quality (with the result that fewer US universities appear at the top than should really be the case). Some are also quite biased in favor of institutions in their own country. The cumulative effect, however, is clear.
Note that (unsurprisingly in view of the poor design of its web site and its insufficient use of English) EPFL fares very poorly in the two standard rankings based on results from web searches, the Ranking Web of Universities overall (#18 / #98) and the World University Web Ranking overall (#22 / #161).