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Sam Bowman

Assistant Professor at New York University

Sam Bowman is a prominent figure in the field of deep learning techniques for sentence meaning representation.

He holds a PhD in Linguistics from Stanford University where he focused on natural language processing (NLP) and also completed his BA/MA in Linguistics at The University of Chicago.

Currently, Sam serves as an Assistant Professor at New York University, where he continues his research and academic work.

His professional experience includes a previous role as a Software Engineering Intern at Google Inc., where he gained industry experience and exposure to technological innovations.

Sam Bowman's research primarily focuses on enhancing and comprehending deep learning methodologies for sentence meaning representation.

He has a strong academic background, having studied at prestigious institutions such as Stanford University and The University of Chicago, specializing in Linguistics and NLP.

Highlights

Aug 28 · twitter

🚨🕯️ AI welfare job alert! Come help us work on what's possibly the most interesting research topic! 🕯️🚨

Consider applying if you've done some hands-on ML/LLM engineering work and Kyle's podcast episode basically makes sense to you.

Apply by EOD Monday if possible.

Aug 27 · twitter

Early this summer, OpenAI and Anthropic agreed to try some of our best existing tests for misalignment on each others’ models.

After discussing our results privately, we’re now sharing them with the world. 🧵 https://t.co/OMAJe3ZfQ8

Early this summer, OpenAI and Anthropic agreed to try some of our best existing tests for misalignme
Sam Bowman
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Location

New York, New York