Hi there 👋
I am currently a Software Engineer at esqLABS and work on free and open-source software for systems pharmacology.
I am a former academic, and I now spend my days obsessing over how to design a software to have minimum complexity and how to write readable, scalable, and performant code.
Thus far, I have (co-)authored over a dozen libraries in the R programming language, and in the near future, I wish to expand my open-source contributions to C-family programming languages.
My prior research work focused on the neural and psychological basis of moral decision-making (see publications).
R Packages
Here are some of the packages I have authored, either as a primary/sole author or as a co-author:
- ggstatsplot: Enhancing
{ggplot2}plots with statistical analysis📊 🎨 📣 - statsExpressions:
Tidy Dataframes and Expressions with Statistical Details
📉 📜 🔣 ✅ - easystats:
🌌 The R easystats-project - see:
🎨 Visualization toolbox for beautiful and publication-ready figures - report:
📜 🎉 Automated reporting of objects in R - bayestestR:
👻 Utilities for analyzing Bayesian models and posterior distributions - correlation:
🔗 Methods for Correlation Analysis - modelbased:
📈 Estimate effects, contrasts and means based on statistical models - parameters:
📊 Computation and processing of models' parameters - performance:
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...) - insight:
🔮 Easy access to model information for various model objects - datawizard:
🧙 Magic potions to clean and transform your data - ggsignif:
🎨 Significance brackets for ggplot2 - lintr:
🐞 Static code analysis for R