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Karsten appointed as full professor at ETH

At its meeting of 8/9 March 2017, the ETH Board promoted Karsten Borgwardt to the rank of Full Professor. Read more 


New group member

Caroline Weis joins our group. Read more 


New publication: Genome-wide genetic heterogeneity discovery with categorical covariates

Felipe, Laetitia, Dean, Damian and Karsten have developed an alternative to burden tests for genetic heterogeneity discovery - just better! Read more 


Join the lab as Postdoc!

Join the MLCB lab at ETH Zürich @ Basel as a postdoc in Machine Learning and Computational Biology: Deadline March 31. Read more 



On January 25, Damian gave a fantastic talk on "Machine Learning for Personalized Medicine" at the WORLDWEBFORUM in Zürich. Read more 


New publication: easyGWAS: A Cloud-based Platform for Comparing the Results of Genome-wide Association Studies

We are very happy and proud that after 5 years of work, our flagship project easyGWAS got published in The Plant Cell. Read more 


New group member

Matteo Togninalli joins our group. Read more 


Initial Training Network "Machine Learning for Personalized Medicine" is ending

We are concluding our very successful Initial Training Network on "Machine Learning for Personalized Medicine" - happy about all we achieved, sad that it's over! Read more 


NIPS video online

Spotlight video for the paper "Finding significant combinations of features in the presence of categorical covariates" published at NIPS 2016. Read more 


Karsten chosen as one of the "Top 40 under 40" in 2016

Karsten was again included in the ranking "Top 40 under 40" in State & Society in Germany. Read more 

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Fri Apr 28 04:35:13 CEST 2017
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