I am an applied statistician and data scientist with experience supporting interdisciplinary research teams.
Check out my resumé and portfolio below.
A statistics course for ecologists covering topics from basic hypothesis testing and linear regression to mixed models and multivariate analyses.
A course on advanced statistical topics (e.g. bootstrap, smoothing splines, Bayesian analysis, spatial and temporal dependence) with applications in ecology.
Fit individual-based models of animal movement to field data.
A workshop on manipulating and visualizing georeferenced data in R.
R package to submit calculations to a ‘Slurm’ cluster.
Estimate seed dispersal and seedling survival vs. distance from the parent tree.
A short course on spatial statistics (point processes, geostatistics and areal data analysis) theory and examples in R.
Data fusion methods for the historical reconstruction and near-term forecasting of forest insect outbreaks.