About

The Department of Computational Biology at Institut Pasteur is a multidisciplinary community of researchers dedicated to better understanding complex biological mechanisms and systems, from bacteria to human. We conduct research in computational biology, algorithms, biostatistics, and systems biology, using large, complex, heterogeneous data. Our activities focus on the development of mathematical and statistical models, their implementation in computer programs, and highly collaborative applications.

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Teams

Associated teams

Jobs

Research Engineer

Permanent research engineer position as Head of Hub Algorithmics & AI pole

The Hub of Bioinformatics and Biostatistics provides analytical support to research units and platforms at the Institut Pasteur. The Hub is committed to this mission through:  As head of the Algorithmics, AI, and Mathematical […]
Research Engineer

Bioinformatics / biostatistics – Research engineer position at Bioinformatics and Biostatistics Hub

The Hub of Bioinformatics and Biostatistics provides analytical support to research units and platforms at the Institut Pasteur. The Hub is committed to this mission through:  As part of a PEPR (Programmes et Equipements Prioritaires de […]
PhD Student

Neuronal circuits underlying sensorimotor transformations
Master Student

M2 internship & PhD proposal

Simulation and Physics of Drosophila Larva Body Dynamics Introduction The “STRETCHED” project aims to develop a robust, physics-based 3D simulation platform to replicate the motor control dynamics observed in Drosophila larvae. This interdisciplinary project […]
PhD Student

M1-2 internships: conditional generative models of animal behaviour

Introduction  Drosophila larvae have become an excellent model for concurrently investigating behavior and the underlying neuronal processes. Advanced genetic tools enable the efficient activation or silencing of individual neurons or small neuronal groups. By […]
Master Student

M1-2 internship : Discovering Structure in Connectomes Using Latent Space Kernel Embedding

Project Description: The field of connectomics has advanced significantly, allowing us to map synaptic connectivity of neural circuits at cellular resolution using electron microscopy. This internship project aims to develop and apply a novel […]
Post-doc

Postdoc position in Machine Learning for Integrative Genomics

The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed […]

Partners

Featured Projects

project
Completed
9 Members

DIVA — Data Integration and Visualisation in Augmented and Virtual Environments

Jean-Baptiste Masson (PI)

A Unique Software Platform for Complex Image Analysis Using Virtual Reality         DIVA (Data Integration and Visualization in Augmented and Virtual Environments)  is a software platform jointly developed by the Decision and Bayesian […]
software
Ongoing
6 Members

JASS – Joint Analysis of (GWAS) Summary Statistics

Hugues Aschard (PI)

JASS is a python package that handles the computation of the joint statistics over sets of selected GWAS results, and the interactive exploration of the results through a web interface. The generation of joint […]
project
Ongoing
4 Members

Phylogeography

Anna Zhukova (PI)

Phylogeography is a field of study concerned with the principles and processes governing the geographic distributions of genealogical lineages, especially those within or among closely related species. [Avise et al. Ann Rev Ecol Syst […]
project
Completed
7 Members

NGPhylogeny.fr

Frédéric Lemoine (PI)

New Generation Phylogeny.fr: Refactoring Phylogeny.fr for innovative phylogenetic services Phylogeny.fr is one of the main server available today able to run phylogenetic analysis pipelines. In the context of scientific workflows, none of the workflow […]
project
Ongoing
7 Members

Deciding in Complex environments

Jean-Baptiste Masson (PI)

This project aims at understanding the dynamical behaviour of drosophila larva. The larva is a ~10000 neurons that exhibit complex behaviour dynamics in response to external stimuli and to possible internal states. This project is […]