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Prof. Dr. Rudolf Meier

Prof. Dr. Rudolf Meier
  • Publications

    Google Scholar profile

  • Curriculum Vitae

    Employment History:

    1995-1997: Research Fellow, American Museum of Natural History, New York

    1997- 2003: Associate Professor, University of Copenhagen

    2002-2004: Visiting Associate Professor, National University of Singapore

    2004-2011: Associate Professor, National University of Singapore

    2011-2021: Professor, National University of Singapore

    2021-current: Professor, Humboldt University and Museum für Naturkunde

    Academic Qualifications:

    • Ph.D.: Cornell University, Ithaca, New York (1991-1995)
    • Biologie Diplom: Freie Universität Berlin (1984-1991)
    • Master of Science: Tulane University (1987-1989)

    Elected Offices, Memberships, and Awards:

    • Chairman, International Congress of Dipterology (2018-current; Vice-Chairman: 2010-2018, council member 2006-current)
    • Editor-in-Chief: Cladistics (2018-current); Subject Editor for “Zookeys“ (2008-current), Editorial Board of "Systematic Entomology" (2013-current), Editorial Board of “Arthropod Systematics & Phylogeny” (2003-current), Editorial Board: ”Journal of Zoological Systematics and Evolutionary Research”  (2013-2018); Associate Editor of Steenstrupia (2000-2004); Associate Editor of Raffles Bulletin of Zoology (2004-2014); Associate Editor of “Invertebrate Systematics” (2008-2018); Associate Editor of “Organisms, Diversity, and Evolution” (2009-2014)
    • Endowed chair professorships: Provost’s Chair (2013-2014), Kwan Im Thong Hood Cho Temple Professor of Conservation (2014-2021), National University of Singapore
    • President, Willi Hennig Society (2010-2012; Vice-president: 2008-2010; Council member elected: 2006-2008; 2012-2014; ex officio: 2018-current)
    • Faculty Teaching Award (Faculty of Science): 2006, 2007, 2008, Annual Teaching Excellence Award (NUS): 2008, Teaching Honours Roll (Faculty of Science): 2009-2012
  • Tasks

    Professor for integrative Biodiversity Discovery.


    We combine nanopore sequencing, biodiversity robotics, and machine learning in order to accelerate biodiversity discovery, enable biodiversity monitoring, and discover species interactions