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.
The Embryo Digital Atlas is an open source 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. Thanks Abby for the interview! We will be present at the Mozilla Global Sprint two days hackathon (June 1st-2nd 2017).
Packing of Small Cell Lineage Tree – with Jasmin Imran Alsous, Norbert Stoop, Jörn Dunkel, Stanislav Y. Shvartsman – In preparation
Synthesizing developmental trajectories by semi-supervised learning
Paul Villoutreix*, Joakim Andén*, Bomyi Lim, Hang Lu, Yannis Kevrekidis, Amit Singer, Stanislav Y. Shvartsman – Submitted
Collective Growth in a Simple Cell Network
Jasmin Imran Alsous, Paul Villoutreix, Alexander M Berezhkovskii, Stanislav Y. Shvartsman – Submitted
Our 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.
An 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
Randomness 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.
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
Lewis-Sigler Institute for Integrative Genomics
Carl Icahn Laboratory
Princeton, NJ 08544
Center for Data Arts
The New School
2 West 13th Street RM 1011
New York, NY, 10011