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Simone Bombari

@simone_bombari

Working on machine learning @NYUDataScience and @FlatironInst 🤖
Fitness enthusiast 💪
New York City simone-bombari.github.io Joined March 2021
185 Following 192 Followers 42 Posts

Latest posts 5

Simone Bombari @simone_bombari
This is really a great opportunity to do independent research surrounded by an amazing environment and strong collaborators. Positions in theory of ML are open!
CDS is hiring Faculty Fellows for fall 2027!

Two-year appointments with independent research, research and travel funds, and one course to teach per year.

Apply by November 24 for full consideration: apply.interfolio.com/193498
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Simone Bombari @simone_bombari
Very excited to start this new chapter! 🗽
When a model learns from data, does it also learn some of it by heart?

Welcome to @simone_bombari, joining CDS this fall as an incoming Faculty Fellow.

He works on the theory of deep learning, studying privacy and memorization in large models.

nyudatascience.medium.com/meet-the-fello…
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Simone Bombari @simone_bombari
Really, really appreciate the generous work by @thegautamkamath, Adam Smith, and @thejonullman to set this up. Thanks! 🙏
Gautam Kamath @thegautamkamath Oct 20, 2025
Announcing (w Adam Smith and @thejonullman) the 2025 edition of the Foundations of Responsible Computing Job Market Profiles!

Check out 40 job market candidates (for postdoc, industry, and faculty positions) in mathematical research in computation and society writ large! 1/3
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Simone Bombari @simone_bombari
Grateful to @Google for this opportunity, and to my advisor @MMondelli and referees for the support. Many thanks also to the grant office at @ISTAustria for the excellent work. Very excited for this project and for what is coming next!
ISTAustria @ISTAustria Nov 15, 2024
Congrats to @simone_bombari from the Mondelli Group @MMondelli for becoming the first-ever PhD student at @ISTAustria to receive a @Google #Fellowship. Simone's research will focus on the mathematical foundations of deep learning, differential privacy, and adversarial robustness.
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