Paul Villoutreix

Embryogenesis is a fascinating process. It is the process by which a single fertilized cell is turned into a multi-cellular organism. It is a really beautiful phenomenon, studied in various species, from the sea urchin, to the fruit fly, to the zebrafish, to the chicken, to the mouse, to the human.

Recent technological developments in microscopy imaging techniques have transformed embryology into a data intensive science. As an interdisciplinary scientist, I am interested in topics at the intersection of developmental biology, mathematics and data art. Currently, I am a postdoc at the Weizmann Institute of Science in Rehovot (Israel) working in Benny Shilo and Eli Zelzer‘s labs and a visiting fellow of the Center for Data Arts at the New School in New York. Previously, I was a postdoc in Stas Shvartsman’s lab at Princeton University

In addition, I am leading the Embryo Digital Atlas, an open source logoweb based platform for the visualization of complex experimental datasets of embryogenesis in an easy and beautiful way. This is supported by the Mozilla Science Lab and you can contribute here. Thanks Abby for the interview. Here is a blog post describing The Embryo Digital Atlas’ journey to the Global Sprint. We were present at the NYC Media Lab 2017 demo at The New School and we are showcased on the Information is Beautiful Award website.

Recent news: I will be presenting our work at the 2017 SciViz NYC conference. We received a mini grant award by Mozilla Science Lab for developing interactive visualizations of embryogenesis in Virtual Reality!

LinkedIn GitHub Twitter



Google Scholar Citations


Packing of Small Cell Lineage Tree – with Jasmin Imran Alsous, Norbert Stoop, Jörn Dunkel, Stanislav Y. Shvartsman – In review imranalsous_naturefigure2

Featured in Nature (with Jasmin Imran Alsous):
The visualizations transforming biology
Ewan Callaway, Nature, 535(7610), 187-188, 2016.

Synthesizing developmental trajectories
Paul Villoutreix*, Joakim Andén*, Bomyi Lim, Hang Lu, Yannis Kevrekidis, Amit Singer, Stanislav Y. Shvartsman – PLoS Comput Biol 13(9): e1005742, 2017.

Cover of September’s issue of PLoS Computational Biology

Collective Growth in a Simple Cell Network
Jasmin Imran Alsous, Paul Villoutreix, Alexander M. Berezhkovskii, Stanislav Y. Shvartsman – Current Biology 27(17), 2670–2676, 2017.

A post by Jasmin Imran Alsous featured on The Node describing the story behind the paper “Collective Growth in a Simple Cell Network”
Allometry in a Simple Cell Network – The Node, 2017.

screen-shot-2017-02-17-at-6-47-51-pmAn integrated modelling framework from cells to organism based on a cohort of digital embryos
Paul Villoutreix*, Julien Delile*, Barbara Rizzi*, Louise Duloquin*, Thierry Savy, Paul Bourgine, René Doursat, Nadine Peyriéras, Scientific Reports, 6:37438, 2016.
Code and Datasets or github repository

Book Chapter

Vers une modélisation multi-échelle de la variabilité biologique?
Paul Villoutreix, Chap. 19 in Modéliser & Simuler. Epistémologies et pratiques de la modélisation et de la simulation. Tome 2, Franck Varenne, Marc Silberstein, Philippe Huneman et Sebastien Dutreuil, Eds. pp. 643 – 664, Editions matériologiques, Novembre 2014.

Ph.D Thesis

rplot_allred_eyeyellowRandomness and variability in animal embryogenesis, a multi-scale approach
Paul Villoutreix, PhD Dissertation – Université René Descartes – Paris V, 2015


Interview on Mozilla Science Lab blog – The Embryo Digital Atlas

@mozillascienceBlog post discussing our work on data-driven visualizations of developing embryos and its relationships to art. This is a supporting webpage for Mozilla Science Lab  community call on art and science.




2015 | PhD in Mathematical Biology
Paris Descartes University – Frontiers of Life Science Program
2014 | Visiting Student Researcher
Stanford University – Department of Mathematics
2011 | MSc. Interdisciplinary Approaches of Life Sciences
Paris Diderot University
2011 | MSc. Applied Mathematics
Supélec Engineering School




Department of Molecular Genetics
Weizmann Institute of Science
Rehovot, Israel

Center for Data Arts
The New School
2 West 13th Street RM 1011
New York, NY, 10011