Rechercher

Sur ce site


Accueil > Annuaire > Miele Vincent

Vincent Miele
Ingénieur de recherche - CNRS
courriel :
tél : +(33) 04 72 44 85 44
UMR CNRS 5558 - LBBE
"Biométrie et Biologie Évolutive"
UCB Lyon 1  - Bât. Grégor Mendel
43 bd du 11 novembre 1918
69622 VILLEURBANNE cedex
Bâtiment : Mendel 1er étage Bureau : 141

  • Overview

    I am working in CNRS and I am interested in various problems about networks, from the analysis of original datasets to the development of new methodological tools.

    As a researcher engineer, I am also interested in software performance & optimization, in particular using parallel algorithms and parallel computing.

  • Forthcoming & recent papers

    ECOLOGICAL NETWORKS

    Vincent Miele, Rodrigo Ramos-Jiliberto & Diego P. Vazquez, Temporal switching of species role in a plant—pollinator network. bioRxiv

    Vincent Miele, Christian Guill, Rodrigo Ramos-Jiliberto & Sonia Kéfi, The diversity of interaction types drives the functioning of ecological communities. bioRxiv

    Marc Ohlmann, Vincent Miele, Stéphane Dray, Loïc Chalmandrier, Louise O’Connor & Wilfried Thuiller, Diversity indices for ecological networks : a unifying framework using Hill numbers Ecology Letters (2019)

    Sonia Kéfi, Vincent Miele, Evie A. Wieters, Sergio A. Navarrete & Eric L. Berlow, How structured is the entangled bank ? The surprisingly simple organization of multiplex ecological networks leads to increased persistence and resilience. PLoS Biology (2016)

    HTT NETWORKS

    Daphné Reiss, Gladys Mialdea, Vincent Miele, Damien de Vienne, Jean Peccoud, Clément Gilbert, Laurent Duret, Sylvain Charlat, Global survey of mobile DNA horizontal transfer in arthropods reveals Lepidoptera as a prime hotspot. PLoS Genetics (2019)

    Samuel Venner, Vincent Miele, Christophe Terzian, Christian Biémont, Vincent Daubin, Cédric Feschotte & Dominique Pontier, Ecological networks to unravel the routes to horizontal transposon transfers. PLoS Biology (2017)

    NETWORK METHODS

    Catherine Matias & Vincent Miele, Statistical clustering of temporal networks through dynamic a stochastic block model. Journal of the Royal Statistical Society : Series B (2016) Arxiv

    BOOK

    Vincent Miele et Violaine Louvet, Calcul parallèle avec R. Collection PratiqueR, EDP Sciences (+ d’infos ici)

  • +Curriculum Vitae
  • +Students/collaborators
  • +Software

+Publications