• Zum Hauptinhalt springen
  • Zum Footer springen
  • Deutsch - de
  • English - en

    SyNergy - Mu...

    • About
      • About us
      • Our Measures
      • Members
      • Cluster Management
      •  PhD & Postdoc representatives
      • Scientific Advisory Board
      •  International cooperation partners
      • Timeline
      •  Media Kit
      • Contact
    • News & Events
      • News
      • Events
      • In the News
      • Open Positions
    • Research
      • Publications
      • Our Research Focus
      • Technology Hubs
      • Research Spotlight
      • Research Data Management
      • Sustainability Initiative
      •  Code of Conduct
    • Science & Society
      • For Schools & Students
      • Public Events
      • Podcasts
      • Videos
    • Support for Diversity & Equity
      • Newcomer Center
      • Gender Equality Program
      • Early Career Investigator Program
    1. Home
    2.  Lis de Weerd

     Lis de Weerd

    PhD-Rep

    Lis obtained a bachelor’s degree in Psychobiology and a master’s degree in Molecular Neuroscience at the University of Amsterdam, during which she did research internships in Calgary and San Francisco. After her studies Lis worked as a research assistant at Cambridge University and moved to Munich in 2020 where she started her PhD in the group of Christian Haass at the DZNE. Nowadays, she rides around on her gravel bike, sings in a choir and loves to read books on her phone, while trying to wrap up her PhD.

    Participating Universities
     LMU logo in white
     TUM logo in white
    Partner Institutions
     Logo DZNE in white
    Helmholtz Munich logo in white 
     Logo Max Planck Gesellschaft 

    SyNergy is funded by the Deutsche Forschungsgemeinschaft (German Research Foundation) within the framework of the German Excellence Strategy (EXC 2145 SyNergy – ID 390857198). The Excellence Strategy promotes outstanding research at German universities. 

    Contact

    Munich Cluster for Systems Neurology (SyNergy)

    Feodor-Lynen-Str. 17
    81377 Munich
    +49 (0)89 4400-46497
    yüunbgybScјuipxWјGvfulyz-mi
    Editor login
    Imprint | Data-Safety