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 11 years of hypothesis-driven research experience and strong skills in data wrangling, statistical analysis, model development, and data visualization.

Data Visualization

I have been working as an independent data visualization specialist since the beginning of 2020. Since then I have worked for a large number of clients as a designer, consultant, analyst, and workshop instructor in the field of data visualization and reproducible analysis. I am constantly strengthening my skills in design and have built a diverse portfolio covering a wide range of topics, chart types, purposes, and tools by contributing to self-led personal projects and numerous data visualization challenges such as TidyTuesday, #30DayMapChallenge, and #30DayChartChallenge.

    →  Have a look at my portfolio or watch my most-recent talks

Computational Ecology

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. 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. 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 research projects

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. More recently, I find myself enjoying a lot using other, non-programing design and charting tools such as Figma, DataWrapper, and Flourish.


Dr. rer. nat. Cédric Scherer

Self-Employed Data Visualization Specialist
Information Design • Cartography • Data Analysis • Workshops

Researcher at Leibniz Institute for Zoo and Wildlife Research (IZW)
Movement Ecology • Eco-Epidemiology • Population & Community Dynamics
Department “Ecological Dynamics”
Alfred-Kowalke-Straße 17, 10315 Berlin, Germany

Curriculum Vitae

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

  • Workshop “Data Visualization with {ggplot2}: 2–Day Course on DataVisz Principles and Beautiful Plotting in R”
    (BioMove Research Training Group, 2 days, remote, Apr 2021)
  • 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 for 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)

List of Publications


Selection of talks:

  • “The first #30DayChartChallenge: A summary of inspiring contributions, our learnings, and about the value of challenges in general.”
    Slides | Recording
    DataVis Lisboa – 05|2021 – Online Meeting

  • “ggplot Wizardry: My favorite tricks and secrets for beautiful plots in R.”
    Slides | Recording | Hands-On Tutorial
    Outlier 2021 – 02|2021 – Online Conference hosted by the Data Visualization Society (Talk + Seminar)

  • “Effective Data Visualization: How to design impactful and aesthetically pleasing charts.” Slides | Recording
    Heureka Labs & Duke+DataScience – 10|2020 – Duke University, Durham, USA (Webinar)

Full List of Presentations

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)