Roger D. Peng
@rdpeng.org
4.6K followers 46 following 19 posts

Professor of Statistics and Data Sciences UT Austin | Prev JHUBiostat | R Programming for Data Science | Simply Stats Blog | Not So Standard Deviations | The Effort Report

Roger D. Peng is an author and professor of Statistics and Data Science at the University of Texas at Austin. Peng originally received a Bachelor of Science in Applied Mathematics from Yale University in 1999, before going on to study at the University of California, Los Angeles, where he completed a Master of Science in Statistics in 2001 and a PhD in Statistics in 2003. The focus of his research has been on environmental health, specifically focusing on air pollution and climate change in his research. Peng is also a software engineer who has authored numerous R packages focused on applying statistical methods necessary for a variety of topics. He has also created numerous resources including books, online courses, podcasts, blogs, and other articles to aid those learning data analysis. .. more

Environmental science 52%
Geography 13%
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rdpeng.org
This is an incredible initiative and this honor is well-deserved. I hear big things are coming soon!

Reposted by Roger D. Peng

lucystats.bsky.social
What a delightful week working with @rdpeng.org & @stephaniehicks.bsky.social on Analytic Design Theory — stay tuned, exciting things happening here!

rdpeng.org
Thanks for the support!

Reposted by Roger D. Peng

beeonaposy.bsky.social
A little birdie told me that now is a good time to dust off any stories you might have about data projects gone wrong 😅

#datamishapsnight

rdpeng.org
I 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).

rdpeng.org
I'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). 🤷🏻‍♂️

rdpeng.org
I 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?)

rdpeng.org
The best part of this job is working with great people!
lucystats.bsky.social
What a delightful week working with @rdpeng.org & @stephaniehicks.bsky.social on Analytic Design Theory — stay tuned, exciting things happening here!

rdpeng.org
I like these too.

rdpeng.org
It has a punch card as a bookmark!

rdpeng.org
Got to see @rafalab.bsky.social this week while visiting Boston and he gave me this amazing present!

Reposted by Roger D. Peng

karlrohe.bsky.social
What 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?

rdpeng.org
I'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.

rdpeng.org
I really like my Nissan Leaf. Newer models have better range, but it's perfect for getting around town.

rdpeng.org
The best part of university libraries is walking in looking for one book and walking out with five.
Stack of five books on a white desk

Reposted by Roger D. Peng

My feed here is too devoid of rockets and spacecraft. Where the space people at?

rdpeng.org
That’s your cat now. Plz feedz

rdpeng.org
We can only dream

rdpeng.org
Just wrote two sentences for a grant so I think I deserve a cheeseburger.

rdpeng.org
I never thought I’d actually say this, but it’s kind of a dry heat.
Image showing the temperature in Austin, TX as 102 degrees.

rdpeng.org
I guess honesty is the best policy