 
        
        
      
    
    I have been fortunate to join many excellent shows and podcasts,
here are a few examples:
Media appearances
- Bloomberg's AI IRL show, "Is AI Our Future Teacher?": https://www.bloomberg.com/news/videos/2023-05-25/is-ai-our-future-teacher-ai-irl-episode-6 
- Adam Grant's ReThinking podcast, "Why Data Don't Have All the Answers": https://open.spotify.com/episode/48bbory7qH840LSn0PSleJ 
- The Holderness Family Podcast, "Can Data Unite Us?": https://shows.acast.com/holdermess-the-holderness-family-podcast/episodes/can-data-unite-us-with-dr-andrea-jones-rooy 
- Daily Tech News Show (frequent contributor, here is the most recent), "All About that Bias": https://dailytechnewsshow.com/2025/01/28/all-about-that-bias-dtns-live-4944/ 
- The Skeptics Guide to the Universe podcast (many appearances, here is the most recent), "Episode 1020", Trust in Scientists segment: https://www.theskepticsguide.org/podcasts/episode-1020 
- New York Post video, "Professor Lives a Double Life As Fire-Eating Acrobat": https://www.youtube.com/watch?v=lGvOgFz4QKE 
- Back to School with Maz Jobrani "What It's Like to be a Jack-of-All-Trades": https://open.spotify.com/episode/4hx0eGzrhFKset1XpyaFWl 
- StarTalk All-Stars, "Dark Matter": https://startalkmedia.com/show/dark-matter-with-natalia-reagan-and-astro-katie/ 
Selected articles by or about me
- Data Science for Everyone course text: https://ajr348.github.io/ds4e_course/ 
- Daily Beast article: https://www.thedailybeast.com/why-everything-you-think-about-polarized-america-is-wrongand-i-would-know/ 
- Quartz article: https://qz.com/1664575/is-data-science-legit 
- Cooper Square Review essay: http://coopersquarereview.org/post/sleepless-in-shanghai/ 
- "Three Ring Scholar" University of Michigan article: https://lsa.umich.edu/lsa/news-events/all-news/search-news/three-ring-scholar-.html 
- Quoted in The New York Times: https://www.nytimes.com/2023/03/13/business/ai-hiring-jobs.html?searchResultPosition=1 
Ready to work together?
I’d love to speak at one of your events, be a guest on your podcast, youtube or tv show, or partner with you or your organization to teach data science.


