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Hi! I’m Marco Plebani, quantitative ecologist (PhD) with more than a decade’s worth of experience with performing and teaching data visualisation, data analysis, and modelling.
My expertise includes experimental design, general linear models (t-test, ANOVA, Analysis of Covariance, regression), generalised linear models, mixed-effect models (particularly with R packages lme4
, lmerTest
, and glmmTMB
), non-linear models, multivariate statistics (particularly with R package vegan
), and more. I do all my statistics, modelling, graphs, and data handling using the R software environment.
I have been involved in research on a variety of topics including population dynamics, community ecology, biodiversity, evolution and coevolution, biogeography, and spatial ecology. I like to translate the beauty of nature in quantitative terms, and to give data a voice.
I have taught or assisted with teaching applied statistics and data analysis at the University of Zurich (Switzerland) and at the University of KwaZulu-Natal (South Africa).
When I am not doing ecology or statistics I am probably outside, climbing some rocks.
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Academic background
- 2016-2019: Post-Doc researcher in Pollination Biology (University of KwaZulu-Natal, South Africa)
- 2011-2015: PhD in Ecology (University of Zurich, Switzerland)
- 2008-2010: MSc in Marine Biology (University of Pisa, Italy)
- 2004-2008: BSc in Ecology and Biodiversity (University of Pisa, Italy)