- 🌍 Analyze species distribution and temporal change using spatial statistics and machine learning
- 🌱 Develop and test eco-evolutionary simulation models in R
- 🧬 Investigate phylogenetic patterns and trait evolution
- 🛠️ Build reproducible research pipelines and contribute to developing R packages
- 📊 Visualize data with a strong focus on clarity and communication
- 🐾 Analysing empirical and simulations of biodiversity change based on species traits, dispersal, and environment
- 🧪 Review and Development of unit tests for the
RRatepolpackage - 📦 Working on my first package for spatial pattern analysis based on different input and output parameters using fully adjustable individual-based simulations of spatial change.
- Languages: R, Quarto/Markdown, a little Python, a little bash
- Tools:
tidymodels,ggplot2,terra,sf,ape,phytools, Git/GitHub - Practices: version control, unit testing, reproducibility, open science, AI models
I'm always open to meaningful collaborations in macroecology, simulation modeling, and spatial data science.
Something to think about:
🧠 “The chief distinction in the intellectual powers of the two sexes is [shown] by man attaining to a higher eminence... Thus man has ultimately become superior to woman.”
— Charles Darwin, The Descent of Man (1871)
Lessons learned:
Proof that even the smartest people are fully capable of saying complete and utter bullshit.
Thanks for evolution, Chuck — but we'll go ahead and evolve past that part.

