Ramesh Johari

92 posts

Ramesh Johari

Ramesh Johari

@rameshjohari

Professor, Management Science and Engineering

Stanford University Katılım Mart 2012
173 Takip Edilen832 Takipçiler
Ramesh Johari
Ramesh Johari@rameshjohari·
Many thanks @lennysan for having me on! Awesome having a chance to trade stories with you on your pod 🙏🏾
Lenny Rachitsky@lennysan

Ramesh Johari (@rameshjohari) is a professor at Stanford University focusing on the design and operation of online marketplaces. Ramesh has advised companies like @Airbnb, @Uber, @Bumble, and @Stitchfix on how to scale and improve their marketplaces. In our conversation, we discuss: → What you need to get right to build a successful online marketplace → Tips for optimizing your marketplace → An easy litmus test to see if there’s an opportunity to build a marketplace in a space → The role of data science in successful marketplaces → Ramesh’s philosophy on experimentation and AI → Implementing rating systems → Much more

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Hannah Li
Hannah Li@hannahq_li·
Honored to have my work on marketplace experimentation recognized by the Dantzig Dissertation Award and the MSOM Service Management SIG best paper award at #INFORMS2023 last week!
Hannah Li tweet mediaHannah Li tweet media
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Lihua Lei
Lihua Lei@lihua_lei_stat·
@paulgp Treat it as a linear model w/ y=outcomes, X=one-way ANOVA matrix. Then apply the pairwise bootstrap (resampling (x,y) together) to get muhat, and use them to get crit values for ANOVA F-test or Turkey’s HSD. It’s robust to unequal group sizes (or more general heteroscedasticity)
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Ramesh Johari
Ramesh Johari@rameshjohari·
@paulgp Very nice slides (not just this lecture, but the course overall)! Particular pieces of work you would highlight re: the last slide (dynamics)?
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Johan Ugander
Johan Ugander@jugander·
I'm giving at talk "at" MIT this Thurs 2/4 noon ET, open to all. Will focus on recent work with Hao Yin on randomizing graph cluster randomization (huh? come to the talk!). The talk aims to be instructive to both to a broad and expert audience. twitter.com/mit_ide/status…
MIT IDE@mit_ide

🚨Registration Open🚨Join us this Thurs, Feb. 4 as @jugander kicks off the Spring 2021 @mit_ide Lunch Seminar Series at 12pm EST Register FREE: bit.ly/ideseminar @sinanaral @amcafee @daveholtz

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Ramesh Johari
Ramesh Johari@rameshjohari·
Congrats to @NikhGarg who is a finalist for the INFORMS M&SOM Student Paper Prize for our work on ratings in online platforms arxiv.org/abs/1810.13028 , and for the Dantzig Dissertation Award for his thesis!
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Sven Schmit
Sven Schmit@spschmit·
Excited to share a new blog post on large scale experimentation; how should we think about opportunity costs when there are many potential experiments to run. Also, hope you enjoy the awesome animation built by @brianedcoffey👌
Stitch Fix Algorithms@stitchfix_algo

Use data to inform your decisions... but don't squander precious sample! See how you do in our interactive game. The latest blog post from the Stitch Fix Algorithm's team. Large scale experimentation, by @spschmit w graphics by @brianedcoffey multithreaded.stitchfix.com/blog/2020/07/0…

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The Atlantic
The Atlantic@TheAtlantic·
The original coronavirus-testing crisis was defined by bureaucratic red tape and a blundering White House. But now a new crisis is upon us, and this time private labs are the problem, @alexismadrigal and @yayitsrob report: on.theatln.tc/ThV2nRW
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Elizabeth Warren
Elizabeth Warren@SenWarren·
Restarting our economy will require one thing above all else – testing. Testing to show who's currently infected. Testing to show who's had the virus and is immune. Social distancing won't end because it's Easter. It'll end when we have sufficient testing. Here’s how we do it.
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