New paper on personalized medicine for heart failure in the news!

Our paper “A personalized, multiomics approach identifies genes involved in cardiac hypertrophy and heart failure” is in the news! I still remember the first time Alain Karma told me about this project, almost 5 years ago when I was finishing my PhD… A few months later I would be in Boston working on it, and there we are 4 years later. A great adventure, and many ideas for follow-ups!

Coexpression networks in HF
Co-expression network built from gene expression correlation across 100+ mouse strains. Newly discovered personalized FC genes constitute a separate module compare to the traditional population-wide SAM genes.


Positions available!


Note: the application process is now over! However, if you are interested in the project and would like to do an internship, do not hesitate to contact me!

We are looking for postdoctoral associates and PhD candidates in the area of Network Science and Science of Science to join us at the Center for Research and Interdisciplinarity (CRI) in Paris. We seek curious, motivated, autonomous, ambitious individuals with strong analytical skills, network science or data science experience and interest in applying it towards social systems. The ideal candidate has a physics, computer science, bioinformatics, data science, network science, computational social science or mathematics background with coding experience, and thrives in inter/anti-disciplinarity dynamic environments, is inspired and motivated by daily interactions with diverse peers, comfortably mixes disciplines and wishes to explore uncharted domains.

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Prize for best presentation at Complex Networks 2017

My presentation on iGEM got the prize for best presentation at the Complex Networks 2017 conference in Lyon, France ! In this work, we investigate criteria of performance and success of teams in a scientific context. We leverage laboratory notebooks edited on wiki websites by student teams participating to the international Genetically Engineered Machines (iGEM) synthetic biology competition to uncover what features of team work best predict short term quality (medals, prizes) and long term impact (how the biological parts that teams engineer are re-used by other teams). Thanks to the organizers for the nice award (and I got two beautiful pens :))!