Cédric Scherer

Data Visualization & Computational Ecology

About Me

I am a computational ecologist by training and a data visualization designer by heart with more than 10 years of hypothesis-driven research experience and strong skills in data wrangling, statistical analysis, model development and data visualization.

I am working as a scientific researcher (PostDoc) in the Department “Ecological Dynamics” at the Leibniz Institute for Zoo and Wildlife Research (IZW) in Berlin, Germany. Since the beginning of 2020 I have also been working successfully as a self-employed designer, consultant and workshop instructor in the fields of data visualization and reproducible analysis. My favorite tool for all data-related tasks is R, an open source and highly extensible language for statistical computing and graphics techniques. To visualize data I mainly utilize the package {ggplot2} from the {tidyverse} package collection including many more that I use on a daily basis for all kinds of data preparation and analysis.

Computational Ecology

As a computational scientist, I apply analytic and mechanistic modeling approaches to answer questions related to the movement ecology of animals and the dynamics of populations, communities and diseases in space and time. By using empirical and simulated data, I investigate how disease dynamics are influenced by movement behavior, landscape structure and seasonality, how disturbances affect stability measures of ecological communities, and how birds respond to global change. In 2019, I was awarded a Ph.D. degree in Ecology (Dr. rer. nat.) at the University of Potsdam as part of the BioMove research training group.

    →  Read my publications and more about my projects!

Data Visualization

My passion for data, design and coding is a perfect combination not only for scientific but all types of data visualization. By contributing to challenges such as TidyTuesday, MakeoverMonday, Storytelling with Data and the 30 Day Map Challenge, I am constantly strengthening my skills in design and reproducible data visualization with {ggplot2}. Thanks to frequent contributions as well as several personal and client projects, my portfolio now includes visualizations for various purposes and is covering a wide range of topics and chart types.

    →  Have a look at my portfolio!


Dr. rer. nat. Cédric Scherer
Leibniz Institute for Zoo and Wildlife Research (IZW)
Department “Ecological Dynamics”
Alfred-Kowalke-Straße 17, Room 2.4.05, 10315 Berlin, Germany
Phone: +49 30 5168 342 | Email: scherer@izw-berlin.de

    →  Get a pdf copy of my resume!

Curriculum Vitae

Personal Details
  • Day and Place of Birth: 27th of September 1986 in Berlin, Germany
  • Family Status: married with 1 dependent daughter (5 months parental leave in 2017-2018)
Education & Professional Experience

  • Training “Data Visualisation Techniques for Data Scientists”
    (Marine Stewardship Council (MSC), 2 days, remote, Feb 2021)
  • Workshop “Data Visualization with {ggplot2}: Data Visualization Principles and Beautiful Plotting in R”
    (NC3 Collaborative Research Centre, 2 days, remote, Nov 2020)
  • Workshop “Data Visualization in R with {ggplot2}
    (Physalia Courses, 5 days, Berlin/remote, Mar and Nov 2020)
  • Workshop “Scientific Data Visualization: Principles & Good Practices”
    (Leibniz Institute of Zoo and Wildlife Research, 1 day, Berlin, 2019)
  • Workshop “Introduction to Ecological Modelling”
    (Department of Theoretical Ecology, 5 days, University of Potsdam, 2016)
  • Practical Workshop “Zoology”
    (Department for Zoology, University of Potsdam, 2009–2014)
  • Workshop “Research & Presentation”
    (Department for Didactics of Biology, University of Potsdam, 2013–2014)
  • Field workshop “Systematic Zoology II”
    (Department for Evolutionary Biology and Systematic Zoology, University of Potsdam, 2013–2014)
Publications & Presentations

see List of Publications

Awards & Honors
  • Languages: German (native), English (fluent)
  • Programming: R, NetLogo, CSS, html, SQL/SQLite, Python, C++
  • Statistics: R (e.g. lm4, glmmTMB, CARBayesST, adehabitat, broom, tidytext, tidymodels), SPSS, Excel
  • GIS: R (e.g. sf, stars, terra, raster, rgdal, rgeos, sp), QGIS, GRASS, ArcGIS
  • Visualization: R (e.g. ggplot2, shiny, plotly, echarts4r, leaflet, tmap, gganimate, highcharter), DataWrapper, RAWgraphs, CartoDB
  • Markup: Markdown, R (e.g. Rmarkdown, blogdown, bookdown, xaringan), LaTeX
Memberships & Services
  • Peer Review: CRC Press, Journal of Animal Ecology, Oikos, BMC Ecology, Ecology and Evolution, Landscape Ecology, Ecological Modelling
  • Functional Roles: Speaker of the SIG “Young Modellers in Ecology (YoMos)” (2015–2019); spokesperson in the research training group “BioMove” (2015–2018); part of the MCED award committee (2015–2019)
  • Memberships: CorrelAid volunteer (since 2019); Data Visualization Society (since 2019); “R for Data Science” Online Learning Community (since 2018)
  • Conference Organisation: 11th–14th Workshop of the Young Modellers in Ecology (2016–2019); 1st International BioMove Symposium (2018); Annual Symposium of the Ecological Society of Germany, Austria & Switzerland (2013)