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Prof. Dr. Rudolf Meier

  • https://scholar.google.com/citations?user=6qF7vGkAAAAJ&hl=en&oi=ao

  • 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
     

  • 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