These great people helped us developing our projects. It was a pleasure and those staying in the academic field are still active collaborators.

Miquel GONZALEZ (Master 1 internship, metabolic modelling)

Miquel worked on including level of transcripts in metabolic network modelling.

Thomas WACQUET (Master2 intership on knowledge modelling 2025)

Thomas worked on exploiting temporal knwoledge graphs to study the link between endometriosis and pollutants. Linkedin:https://www.linkedin.com/in/thomas-wacquet-184553196/

Elora VIGO (M2 Internship and fixed term contract 2024)

Elora worked on metabolic network drawing algorithms. The aim was to compute automatically a visual representation of small networks. Linkedin: https://www.linkedin.com/in/elora-vigo-47b598250/

Benedict YANIBADA (Postdoc, GOLIATH project, 2021-2023)

Benedict is peformed MS and NMR metabolomics analysis on in vitro samples to assess metabolic impact of model food contaminants. 

Louison FRESNAIS (PhD Ciffre, INRAE-L'Oréal, 2020-23)

Louison developped computational approaches to better classify compounds based on their impact on metabolism. To do so, he is including network modelling in classification methods. ORCID: 0000-0003-2970-1495 Linkedin: https://www.linkedin.com/in/louison-fresnais-585401140/ X @LouisonFresnais

Elva NOVOA (postdoc, ANR-DFG MetClassNetproject, 2020-23)

Elva worked on the integration of networks related to metabolism (experimental and knwoledge based). She developped multiplex algorithms to improve metabolomics data analsyis. ORCID: 0000-0002-6135-5839 Twitter: @elvanov

Maxime DELMAS (PhD student, INRAE-H2020, 2019-2022)

Maxime developped knowledge network based strategies to allow the interpretation of metabolic profiles. In particular, he is using litterature resources like Pubmed to infer associations between metabolites and diseases. In particular FORUM resource. ORCID: 0000-0002-9352-0624 Twitter: @DelmasMaxime1

Dr. Pablo RODRIGUEZ MIER (Postdoc, INCA project, 2018-2021)

Pablo worked on genome scale modelling in the context of cancer research. In particular, he is developping optimisation techniques to allow building condition specific metabolic networks (DEXOM method) to decipher metabolic plasiticity of cancer cells. ORCID: 0000-0002-4938-4418 Twitter: @PabloRMier

Maximilian STINGL (M2, Master bioinformatics Strasbourg, 2021)

Maximilian is developped in python methods for context specific genome scale metabolic networks with application to cancer research (Sarcomas)

Amina Taoui (M2, Master Bioinformatics Aix-Marseille Université, 2020). 

Amina worked was supervised by Maxime Chazalviel, she worked on MetExploreViz to propose methods for network abstraction representation.

keywords: web development, visualization

Jeanne Bertrand ( 3rd year student, INSA Toulouse.)

Jeanne worked on the integration and graph based analysis of microbiote metabolic networks. Currently Project Manager at Ubudu. Jeanne was co-supervised by Clément Frainay.

keywords: graphs, microbiote

Maxime CHAZALVIEL(IE, Bioinformatics engineer)

Maxime works on software development for clinical metabolomics data analysis. He is engineer at MedDay pharmaceutical company, hosted in our team. He is in charge of MetExploreViz development.

keywords: web development, visualization

Etienne CAMENEN (IE, Bioinformatics engineer)

Etienne is involved in PhenoMeNal H2020 project aiming at proposing a Virtual Research Environment for clinical phenotypic data. He is in charge of proposing network analysis in docker containers.

keywords: cloud computing, docker

Benjamin Merlet (IE, Bioinformatics engineer 2013-2017) 

Benjamin did developp some back office elements of MetExplore (web services, docker containers) in the framework of MetaboHUB and Phenomenal H2020 project. Benjamin is currently IE at AKANEA.

Arthur MOREAU (M2, Bioinformatics)

During is master internship, Arthur is working on lipid mapping in metabolic networks.

Adrien ROHAN (M2, Bioinformatics)

During is master internship, Adrien is working on metabolic network visualisation within MetExploreViz project. His aim is to make representation more similar to the ones which can be found in text books.

Florence MAURIER (IE, bioinformatics engieneer 12months 2015/16) MetaboHub

Florence developed algorithms to identify functional modules in genome scale metabolic networks. She also works on the metabolic network reconstruction of Tomato fruit.

Paula NUNES MSc student in Bioinformatics (Toulouse, Master de Bioinformatique et de biologie des systèmes) february-august 2012 (6 months)

Now informatics engineer in Capgemini

Marianne DUSSART MSc student in Bioinformatics (Bordeaux, Master de Bioinformatique de Bordeaux) february-august 2011 (6 months)

Marc DUBOIS MSc student in Bioinformatics (Bordeaux, Master de Bioinformatique de Bordeaux) february-august 2009 (6 months) then software engineer 12 months 2010-2011

Now engineer in Toulouse proteomics facility  / CEO and co-founder of omics-services

Ludovic COTTRET postdoctoral research fellow in bioinformartics 18 months 2008-2009. ANR-BBSRC project Sytstrip.

Now permanent INRA Research Engineer

Nataël Sorel (Engineer, Human lympho-hematopoiesis team, Imagine Institute, INSERM Paris, 2022, 1 week). Nataël visited us to perform sub-network extraction based on metabolic profiled obtained on different Leukemia cells. In particular, we applied distance matrix based sub-network extraction.

Anna Lisitsyna (Phd Student, Helmholtz Zentrum München, 2020) Anna came to the lab for a period of one month (another one was planned but canceled due to COVID). We work together with Anna and Clément Frainay on the integration of network topology in SOM based dimensionality reduction.

Karla-Fabiola Corral-Jara (Post-doc, INRAE UNH Clermont Ferrand, 2020). Karla worked with Nathalie Poupin on mapping gene experssiond data on mouse model in a nutrition study. 

Stéphanie Monnerie (PhD student, INRAE UNH Clermont Ferrand, 2019). Stéphanie came to the lab to perform metabolomics and lipidomics data mapping to study Metabolic Syndrome (Work had been published in EBioMedicine).

Dong-Hyun Kim (As. Pr, University of Nothingham, 2017). Dr. Kim came to our lab to perform metabolomics data mapping from brain tumor data. One of the aim was to associate that with MS imaging data.

Sandra THERRIEN-LAPIERRE (master student at the University of Montreal, 2016) visited us from july 18th to july 29th 2016. Sandra is working with Pr. Christine Des Rosiers on the integration of mGWAS data in the context of metabolic networks.

David RENAULT (senior lecturer in ecology, University of Rennes, 2016). He came for a one week training in April 2016 to analyze metabolomics data obtained on insects leaving in Kerguelen islands. Funding: CNRS.

Helen PURCHASE (senior lecturer in computer science at the University of Glasgow, 2016) from October 5th to October 9th 2015. Working on evaluation of metabolic drawings. Funding: PhenoMeNal.

Audrey LE GOUELLEC (researcher at Grenoble hospital, 2015). One week from September 21st to September 25th 2015. Working on mapping metabolomics data on tryptophane catabolism.

Elisabete CARVALHO (postodc at the Royal Holloway University, London, 2014). One week September 29th to October 3rd 2014. Topic: interpretation of plant metabolomics data using MetExplore. Funding: COST action.

Karl BURGESS (Head of metabolomics facility in Glasgow Polyomics, 2014). Two weeks in 2014. Topic: bioinformatics for MS data analysis. Funding:  SULSA.

Florence MONDEGUER (Researcher at IFREMER Nantes, 2009). One week in 2009. Topic: training in XCMS data treatment of MS data.