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 science. Currently, I am a postdoc in Stas Shvartsman lab at Princeton University and a visiting fellow of the Center for Data Arts at the New School.

We are just beginning an open source project to develop a web 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. Here is a first prototype!

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Publications

Google Scholar Citations

Data fusion for reconstruction of multivariate developmental dynamics – In preparation – With Joakim Andén, Amit Singer, Yannis Kevrekidis, Stas Shvartsman

@mozillascienceOur work on data-driven visualizations of developing embryos and its relationships to art are discussed in this article. This is a supporting webpage for Mozilla Science Lab  community call on art and science.

imranalsous_naturefigure2Our work, with Jasmin Imran Alsous, on the packing of Drosophila Egg Chambers was featured on Nature.com
The visualizations transforming biology
Ewan Callaway, Nature, 535(7610), 187-188, 2016.

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

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

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.

Education

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

Contact

paul.villoutreix@princeton.edu

Lewis-Sigler Institute for Integrative Genomics
Carl Icahn Laboratory
Washington Road
Princeton University
Princeton, NJ 08544

villoutp@newschool.edu

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