Notes & Essays

Writing

Articles, tutorials, and essays for practitioners and the public, alongside a few resources I recommend. For peer-reviewed work, see publications.

Articles & Tutorials

For Practitioners and the Public

2026
Essay in FRANKly, magazine of the German Fulbright Alumni Association
2026
Open resource guide, written for Johns Hopkins Bloomberg School of Public Health students
2021
2020
Open Data Science (ODSC)
2019
Forbes · syndicated by ACM CareerNews, Phi Beta Kappa, and Statista
2018
RPubs · picked up by Microsoft Revolution Analytics and R-Bloggers
From the Blog

Notes and Reflections

August 2026 · Fulbright & Reflections

A Fulbright Year in Munich

A look back at ten months in Germany: the analysis-strategies project with Professor Sabine Hoffmann, fourteen countries and ten venues, the European Union and North Atlantic Treaty Organization seminar, and what the year taught me about working abroad.

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February 2026 · AI & Society

DEF CON Meets MCSC 2026: On Agency, AI, and the Future We Are Learning to Navigate

A reflection from the DEF CON Meets Munich Cyber Security Conference on a question that stayed with me all day: who has agency in the systems we are building, and how do we preserve it?

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Acknowledgments

Feedback & Review

Recommended Resources

Things I Point People To

Learn data science for free

  • The Carpentries: friendly, hands-on lessons in R, Python, and the shell.
  • R for Data Science: the free online book by Wickham, Çetinkaya-Rundel, and Grolemund.
  • Kaggle Learn: short, practical micro-courses with hands-on notebooks.
  • freeCodeCamp: free, project-based programming and data-analysis courses.

For kids and teens curious about data

  • NASA Learning Resources: hands-on STEM activities, games, and projects for kids, students, and educators.
  • Bootstrap: Data Science: free classroom modules that teach data through algebra and code.
  • Data Nuggets: free activities that build data literacy with real datasets, for elementary through high school.
  • Scratch: a gentle, visual first step into coding and data for younger learners.