Roger D. Peng @rdpeng.org · 28/08/2025This is an incredible initiative and this honor is well-deserved. I hear big things are coming soon! 020
Roger D. Peng @rdpeng.org · 19/05/2025The final (more or less) episode of the Not So Standard Deviations podcast is out now. Thanks for listening! nssdeviations.com/190-indefini...nssdeviations.comNot So Standard Deviations: 190 - Indefinite Leave190 - Indefinite Leave After a very brief summary of the changing data science landscape, Hilary and Roger do not actually end the podcast but discuss taking an indefinite leave, leaving the do... 1180
Reposted by Roger D. PengCaitlin Hudon @beeonaposy.bsky.social · 04/01/2024A little birdie told me that now is a good time to dust off any stories you might have about data projects gone wrong 😅 #datamishapsnight 1114
Roger D. Peng @rdpeng.org · 07/11/2023I think the bottom line is I need one app for things other people want me to do (calendar/email) and one app for things I want to do (reminders/todo). 010
Roger D. Peng @rdpeng.org · 07/11/2023I've found putting things that I *want* to do in my calendar has an opposite effect and I end up not doing it. So for those kinds of things I use Todo/Reminders apps that are pinned to specific dates/time so they pop up like a calendar (but not on my calendar). 🤷🏻♂️ 110
Roger D. Peng @rdpeng.org · 07/11/2023I wouldn't include it in the "Talks" section but might maybe in the "Teaching" section if it could reasonably be considered a class of some sort (or part of one?) 120
Roger D. Peng @rdpeng.org · 22/09/2023Got to see @rafalab.bsky.social this week while visiting Boston and he gave me this amazing present! 250
Reposted by Roger D. PengKarl Rohe @karlrohe.bsky.social · 19/09/2023What are the biggest **empirical** successes of “multivariate statistics”? Should be fields/industries that a built around them. Eg: pageRank in web search factor modeling in finance phylogenetic reconstruction in evolution These are currently my best examples. What else? 112
Roger D. Peng @rdpeng.org · 11/09/2023I'm experimenting with data from the World Cube Association (www.worldcubeassociation.org/export/results). Not sure about causal inference but maybe prediction. Data is very clean and requires merging across tables. 010
Roger D. Peng @rdpeng.org · 10/09/2023I really like my Nissan Leaf. Newer models have better range, but it's perfect for getting around town. 040
Roger D. Peng @rdpeng.org · 31/08/2023The best part of university libraries is walking in looking for one book and walking out with five. 070
Reposted by Roger D. PengNujoud Fahoum Merancy @nujoud.bsky.social · 06/07/2023My feed here is too devoid of rockets and spacecraft. Where the space people at? 6214
Roger D. Peng @rdpeng.org · 23/06/2023Just wrote two sentences for a grant so I think I deserve a cheeseburger. 120
Roger D. Peng @rdpeng.org · 23/06/2023I never thought I’d actually say this, but it’s kind of a dry heat. 070