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    • SUBMIT ARTICLE
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    Orlando Schwery
    170
    Academic contribution (See all users)

    By role

    PeerJ author 135
    PeerJ PrePrints author 35

    By subject area

    Computational-Biology 135
    Bioinformatics 135

    Orlando Schwery


    Summary

    My main interests lie in the understanding of evolution. More specifically, I am on one hand highly interested in phylogenetics and systematics and how they can be powerful tools to infer the history of organisms and answer evolutionary questions. The main focus of my interest here lies on questions and methods regarding diversification, trait evolution, biogeography and their interplay. On the other hand, I hold a strong fascination in the methods of morphometrics, to relate variation and function of morphological traits to their evolution. On a broader scale, I am interested in philosophical concepts and how they guide how we do research, as well as in the impact of evolutionary biology outside of the field and how it can contribute to interdisciplinary questions.

    Biodiversity Biogeography Computational Biology Entomology Evolutionary Studies Plant Science Taxonomy Zoology

    Past or current institution affiliations

    University of Tennessee
    University of Zürich

    Work details

    PhD Student

    University of Tennessee
    September 2014
    Ecology and Evolutionary Biology

    MSc Student & Research Assistant

    University of Zürich
    Systematic Botany
    The Angiosperm family Ericaceae, has a worldwide distribution with almost 4000 species in various habitats ranging from sea level to >5000 m elevation. It was used to test whether the interaction between specific leaf area (SLA) and mountain association can influence diversification rates. Using maximum likelihood and Bayesian methods, a molecular phylogeny based on rbcL and matK sequence data from 168 species was built and dated using four fossil calibration points and molecular clock estimates in BEAST. Shifts in the diversification rate were estimated with MEDUSA and evaluated whether those coincide with shifts in SLA and mountain association.

    Websites

    • ORCID
    • Google Scholar
    • Twitter
    • GitHub
    • LinkedIn
    • Personal website
    • ResearchGate

    PeerJ Contributions

    • Articles 1
    • Preprints 1
    March 30, 2016
    MonoPhy: a simple R package to find and visualize monophyly issues
    2 citations
    407 downloads
    1,563 views
    Orlando Schwery, Brian C. O’Meara
    bioinformatics
    computational-biology
    https://doi.org/10.7717/peerj-cs.56
    December 19, 2015 - Version: 1
    MonoPhy: A simple R package to find and visualize monophyly issues
    146 downloads
    640 views
    Orlando Schwery, Brian C O'Meara
    bioinformatics
    computational-biology
    https://doi.org/10.7287/peerj.preprints.1600v1
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