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Congrats Jeff! Extremely well deserved. A fantastic scientist and a great friend, I’m excited to see you continue to excel in these positions.

Congratulations Jeff! Very well deserved and I’m so happy for you!

I have had the pleasure of working with Jeff on a couple of projects. Very creative researcher with an impressive breadth of knowledge. Very Well-deserved and Congratulations (most notably to Waterloo Mathematics!)

On May 11th, One🌎YoungStatS will discuss 𝗧𝗵𝗲𝗼𝗿𝘆 & 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 𝗳𝗼𝗿 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗶𝗻 𝗠𝘂𝗹𝘁𝗶-𝗮𝗿𝗺𝗲𝗱 𝗕𝗮𝗻𝗱𝗶𝘁 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀. Registrations are possible👉youngstats.github.io/post/2022/04/1… #DataScience #RStats #Causality FENStatS Bernoulli Society IMS

The NSERC / CRSNG Banting Postdoc is the most prestigious postdoc in all of Canada. Timeline is a bit odd, with the first (internal) deadline at Waterloo in June 2022, for start in 2023. Get in touch if you're interested in working with me! uwaterloo.ca/graduate-studi…

How to design and analyze data from adaptive experiments based on bandit problems? Save the date for this webinar: May 11th! 👇 Register here👉youngstats.github.io/post/2022/04/1… #DataScience #RStats #Causality #Stats #Adaptivedesigns #Bandit FENStatS Bernoulli Society IMS

Looks like a cool event on the intersection of inference and bandit problems. Some great speakers scheduled!

Congratulations to Dr. Jeffrey Negrea (Jeffrey Negrea) on the successful defense of his dissertation! No corrections. Superb job.

Prompt engineering is a dark art. To understand limitations, we formalize "what the user intended" through latent concepts. Then we show direct model controls by algebraic operations on suitably chosen representations!github.com/zihao12/concep… w Lin Gui Jeffrey Negrea Victor Veitch 🔸

I'm _incredibly_ excited about this paper. Deep insights for prompting, and for how models represent latent knowledge about the world. See the paper and check out Zihao Wang's thread! Some extra (more speculative) nuggets below:

Annals: ✅

Congrats to Jeffrey Negrea and Blair Bilodeau. Paper here: arxiv.org/abs/2007.06552

Super excited that this work has been accepted for publication in AoS. For those at #JSM2023, I'll be speaking about it in the session on Advances in Statistical Machine Learning, scheduled for Sunday 8/6/2023 2:00:00 PM. I'm speaking first so don't be late 😉.

3.5 years after we started this project while visiting Institute for Advanced Study (IAS), it’s been accepted to the Annals of Statistics. I won’t be at #JSM2023 but make sure to stop by Jeff’s session to hear about our work!

Congratulations to Dr Mahdi Haghifam on a successful thesis defense at U of T! 🌟🔥🎉👏🔥🌟🎉 Next stop: Distinguished Postdoctoral Fellow at the Khoury College of Computer Sciences at @NorthEastern.

I’m excited to announce that in July 2025 I will be joining University of Waterloo as an Assistant Professor in the Department of Statistics and Actuarial Science! Until then, I will continue at Princeton as a DataX Postdoc Fellow, working with Boris Hanin. I have many exciting projects

New preprint! This is a hardcore technical paper on Thompson sampling - as a strategy for the so-called online learning game. I think it's one of the most long-term important things I have ever worked on due to what it makes possible. But that needs explaining - thread below!