Each 'bird's nest' in the image a single worm's trajectory through the shape space defined by three eigenworms (colour indicates position in the fourth dimension).

Avelino Javer


I am interested in big data approaches to biology. I like both collecting experimental data, and analysing and interpreting the results. However, one could say that I am a lazy experimentalist: I like to automate things as much as possible. Automation allows the collection of large amounts of data in a reliable and reproducible way. What is more, having a large data set smooths experimental noise and allows having a higher statistical certainty. It also helps in discovering relationships in the variables that will be hidden otherwise.

Currently I am working in the automation of phenotypic screening for C. elegans. We use high-throughput tracking to characterise individual worms. Using our setup, it should be possible to track more than a thousand worms per day. This large data set will make it possible to characterise large libraries (e.g. Million Mutation Project), or characterise any other kind of perturbation.

Education

PhD (2010-2014) University of Cambridge, UK
MS (2008-2010) Ecole Normal Superieure de Cachan, France
BS (2003-2007) Instituto Tecnologico y de Estudios Superiores de Monterrey, Mexico

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