Colin Fay is a data scientist and engineer at ThinkR, focused on building production-grade Shiny apps and innovative webR solutions. He is an international speaker, open-source contributor, and shares insights on R, NodeJS, and data engineering through his blog and talks.
Craig Kerstiens is a product leader at Crunchy Data, specializing in managed Postgres services, distributed databases, and performance optimization. He curates Postgres Weekly, speaks at conferences, and helps enterprises scale and optimize their Postgres deployments.
Paolo Perrotta is a simple, opinionated Jekyll theme designed for easy, plug-and-play blogging on GitHub Pages. It’s fully responsive, SEO-friendly, supports Markdown, syntax highlighting, Disqus comments, Google Analytics, and comes with built-in pagination, RSS, and sitemap.
Haki Benita is a software developer and technical lead specializing in databases, web development, software design, and performance tuning. He shares insights through interviews, trainings, and talks, and occasionally offers consultancy and contract work.
Mara Averick is a data enthusiast and R programmer who shares insights, tutorials, and tips on data analysis, visualization, and reproducible workflows. She creates and explores tools in the R ecosystem, including packages like {datapasta}, and enjoys making data more accessible and visually engaging.
Tal Galili is an R developer and data scientist passionate about the R community. He is the creator and maintainer of popular R packages such as installr and heatmaply, and frequently shares tutorials, insights, and updates about R, data visualization, and statistical computing.
Konstantin Kovshenin is a WordPress Core Contributor and Systems Wrangler at Automattic, specializing in web performance, scaling, and DevOps. He blogs about technology, WordPress, and high-availability systems, and shares insights from his experience with PHP, Python, and large-scale web platforms.
Kieran Healy is a Professor of Sociology at Duke University, specializing in social networks, data visualization, and sociological theory. He is the author of several books, including The Ordinal Society and Data Visualization.
Thomas Lin Pedersen is a Danish software engineer and member of the Tidyverse team at Posit, PBC, specializing in R data visualization tools like ggplot2, patchwork, and graphics devices. He is also a generative artist whose work has been exhibited internationally.
Mark Litwintschik is a Big Data, AI, GIS, and networking consultant with international experience, helping clients across the UK, USA, Europe, and beyond. He specializes in large-scale data analysis, geospatial insights, and technology consulting for major corporations and organizations.
Cédric is an independent data visualization specialist and ecologist who helps organizations communicate insights through engaging visualizations and reproducible data products. He combines analytical expertise, programming, and design to create interactive graphics, reports, and web applications.
Jakub Nowosad is a computational geographer and Associate Professor at Adam Mickiewicz University, also serving as a Visiting Scientist at the University of Münster. He develops open-source tools and spatial methods for reproducible, scalable environmental and ecological analysis, and co-authors Geocomputation with R and Geocomputation with Python.
Garrick Aden-Buie is a Software Engineer for Shiny at Posit (formerly RStudio), building tools with R, Shiny, and R Markdown to support data science workflows. He is also an educator and former data scientist with experience in health analytics and smart home research.
Christophe Dervieux is a software engineer at RStudio (Posit) working on the R Markdown ecosystem, including rmarkdown, knitr, blogdown, and bookdown. He shares tips and experiences with R, reproducible reporting, and open-source contributions.
Andrew Heiss is a researcher and educator focused on data visualization, causal inference, and applied statistics using R and Bayesian methods. He writes extensively about reproducible research, GIS, and analytical workflows, and teaches data science and social science methods.
Emily Riederer is a data science leader at Capital One focused on reproducible research, analytical tooling, and causal inference. She writes and contributes to open source on data management, metrics, and building scalable, trustworthy analytics systems.
Yihui Xie is a statistician and software developer best known for his work on R Markdown, knitr, and tools for reproducible research. He blogs about R, web technologies, publishing workflows, and practical programming techniques.
Andrew Bancroft is an experienced iOS developer and educator with over 15 years of experience. He shares tutorials, courses, and insights on Swift, SwiftUI, Core Data, and app development best practices.
David Ha is an AI researcher known for pioneering work in neuroevolution, reinforcement learning, generative models, and world models. His blog features influential experiments, tutorials, and creative AI projects blending deep learning with evolutionary algorithms.
Derrick Stolee is a software engineer and former mathematician best known for his work on Git performance and scalability, especially for large monorepos. He writes and speaks about Git internals, database-style architectures, and open-source development at scale.
