Nate Sandholtz

12 years ago @LukeBornn was a stats grad student, today he is a part owner of multiple pro sports franchises around the world. Had the chance to hear about that journey last week. One of the sharpest guys in the business, and one of the nicest: shows.acast.com/wharton-moneyb…

@SabinAnalytics @socialashelen Congratulations Paul, what an accomplishment!

Boston bound. 🦄 3:02:21. I may have started crying 0.5 miles before the finish knowing I’d done it and left a good buffer under 3:05. This is a dream/goal many years and heartbreaks in the making. Couldn’t have done it without my significant other @socialashelen and kids support

I just put out a preprint with @lucaswu123 , @martypute , and Tim Chan of our paper "Learning Risk Preferences in Markov Decision Processes: an Application to the Fourth Down Decision in Football"! arxiv.org/abs/2309.00756 Please check it out and share!

I just signed a @theactionnet petition: Save Our Great Salt Lake!. Sign here: actionnetwork.org/petitions/save…

My sister wrote a fantastic op-ed about Evan McMullin and the Utah senate race that just got published in the Salt Lake Tribune! Check it out: sltrib.com/opinion/commen…

(Late) update - we won! I'm grateful for the competition committee, the other finalists and my coauthors, Tim Chan, Albert Loa and @nsandholtz. For those interested in the case, it's forthcoming at INFORMS Transactions on Education! #informs2022

For anyone living in Utah, the voter registration deadline is coming up on October 28th. Register to vote! Here's the Utah voter registration website: secure.utah.gov/voterreg

Check out this awesome short my brother made for BYU 👇 Inspiring Short: A Tie That Binds Us All youtu.be/Cq5QSqXP57Q via @YouTube

@brit_covey2 I'm a fellow timpview alum helping some students @Choco_Trail @natehawk2 on a punt return decision analysis at the Y. long shot but if you'd be willing to share what aspects of a punt return situation inform your decision-making we'd be super appreciative

We model observed human decisions from an experiment as sample paths from a Bayesian optimization procedure where the governing acquisition function is unknown. We propose a probabilistic framework to learn the subjects' latent acquisition functions.

Some joint work with @LukeBornn, @yohskay, and Maurice A. Smith is now available in advance publications in Bayesian Analysis #BAjournal! link: projecteuclid.org/journals/bayes…

I presented on our inverse optimization analysis of the fourth down decision in one of friday's #NESSIS21 sessions. If you missed it it's up on youtube now, hope you'll take a look! youtube.com/watch?v=GzsP8t… (joint work with @lucaswu123 , @martypute , and Tim Chan)

@sertalpbilal @StatsbyLopez Thanks Sertalp, and thanks for the nice summary of the talk. Three research isn't actually based on the arxiv paper you mentioned early in the , but I hope to have a paper up on arxiv soon for it :) we're getting there

@nsandholtz @StatsbyLopez It's a really cool application of optimization within sports context Nate. I really enjoyed the talk, great work!

I like @nsandholtz’s link between the variability in commute time and what coaches are maximizing as they think about fourth down choices #NESSIS21 Depending on risk profile, the same decision can have three unique recommendations

@Ian_yzhu Exctiting, looking forward to going through this

This looks awesome! 👏👏👏

@benbbaldwin *conference

@benbbaldwin I hope it won't disappoint! I think we have a fresh perspective to offer. We're gonna try our best to get a preprint out before the

So if I'm counting this list of conference participants correctly, this is 23 men and 0 women

Just looking at WR times by gender for each stroke, seems like it'd be generally optimal to have men on Breast and Fly, women on Back and Free (I wonder if US had done this if they could've medaled!). Anyhow it was interesting to see diff teams w/ diff strategies

Just watched the 4x100 mixed swim medley. Fun to watch, and to think about from an analytics perspective---knapsack problem where you select athletes and their strokes, minimizing total time, w/ constraint of 2 men and 2 women and 1 stroke per athlete.