
@FlatironInsti
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Advancing scientific research through computational methods and software tools. Centers: #FlatironCCA, #FlatironCCB, #FlatironCCM, #FlatironCCN and #FlatironCCQ
NYC
Joined November 2016
- Tweets1.3K
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Flatiron Institute retweeted
A collaboration involving @FlatironInst quantum physicists has identified one possible barrier to superconductivity in materials called cuprates. Removing it could unlock higher-temperature superconductivity: bit.ly/4yub37O
#science #physics #FlatironCCQ
Flatiron Institute retweeted
🪱 From tiny worm brains to entire galaxies, our interns contribute to cutting-edge and interesting research across the basic science ecosystem. 🌌
Read more about our internship program: bit.ly/4yqOT6n
#science #math
Last week, #FlatironCCA celebrated its 10th anniversary! Thanks to everyone who has been a part of our mission to solve important, hard problems in computational astrophysics.
#science #astrophysics #astronomy
Flatiron Institute retweeted
A nice surprise last week: our detection of the rotational kinematic SZ effect (led by @PhysicsColumbia PhD student Sam Goldstein) was selected for the @PhysRevLett cover:
journals.aps.org/prl/covers/…
Great work Sam! And looking forward to similar measurements soon with @SimonsObs
Flatiron Institute retweeted
In her Presidential Lecture this Weds (10/21), @FlatironInst biologist Sonya Hanson (@sonyahans) will discuss the ongoing journey to understand biological temperature sensing. Get tickets: bit.ly/4jpFmbX
#biology #science
Applications are due soon for postdoctoral research positions at our Center for Computational Astrophysics: apply.interfolio.com/193381
#science #astrophysics #FlatironCCA
Flatiron Institute retweeted
We've refreshed our website! With a bold new look, smarter search, and clearer navigation, it's now easier to find relevant grant opportunities, upcoming events, and in-depth information about our researchers.
Visit simonsfoundation.org to explore.
#science #math #funding
Flatiron Institute retweeted
How can the math community forge the best path forward in the AI age? We're committing $15M to workshops and initiatives — plus free AI computing resources for foundation-supported researchers — through new partnerships with @AnthropicAI and @OpenAI: bit.ly/4zpfIbW
#math #science #AI
Earlier this month, #FlatironCCA hosted a workshop on "Planets in the Galactic Context." Thanks to all who attended! #science #astrophysics #astronomy
Flatiron Institute retweeted
Pynapple will be featured in an online workshop along with three other open-source tools for neural data analysis, organized by @nencki ! 🧠
📅 Oct 19: SpikeInterface
📅 Oct 20: Bombcell
📅 Oct 26: Pynapple
📅 Oct 27: NeMoS
👉 Register to attend: nenckiopenlab.org/neuraldata…
Flatiron Institute retweeted
We’re hiring! Join the Structural & Molecular Biophysics team as a Flatiron Research Fellow. 🔬✨ Experience in cryo-EM methods development or MD simulations of ion channels of special interest.
Apply 👉 apply.interfolio.com/194662
#CryoEM #MolecularDynamics #Biophysics #PostdocJobs
Flatiron Institute retweeted
We are #hiring! We have numerous openings across the organization, including computational research jobs at our @FlatironInst: bit.ly/4dFEufT
#science #math
Flatiron Institute retweeted
Congratulations, Professor Millis!
Congratulations to #FlatironCCQ co-director Andy Millis on winning the 2026 Anatoly Larkin Award in Theoretical Physics for his extraordinary contributions to the field!
Read more from the William I. Fine Theoretical Physics Institute: bit.ly/3VvBHzs
#science #physics
Congratulations to #FlatironCCQ co-director Andy Millis on winning the 2026 Anatoly Larkin Award in Theoretical Physics for his extraordinary contributions to the field!
Read more from the William I. Fine Theoretical Physics Institute: bit.ly/3VvBHzs
#science #physics
Flatiron Institute retweeted
News: we moved to New York! I’m excited to share that I am joining @FlatironInst Center for Computational Astrophysics as a research software engineer supporting MESA and broader software needs. Software is a pillar of sci. infrastructure and I am elated to continue to support it
Flatiron Institute retweeted
Enjoying the live zoom videos of this workshop! 👇
📣 Our workshop on Emerging Directions in Probabilistic Modeling is next week, Oct 5–7 in NYC!
Full schedule: edpmworkshop.github.io/#sche…
Can't join in person? Talks will be livestreamed on Zoom. Register here: simonsfoundation.zoom.us/web…
Flatiron Institute retweeted
"The progress of AI in biology and biomedicine is enormous. But it’s also critical for us to understand how challenging this field is. We really need these purpose-built AI models that can identify and decode the unknown."
Professor Olga Troyanskaya recently spoke at @SimonsFdn's 2026 Simons Science Summit about how her lab uses AI to untangle the mysteries of the genome: bit.ly/4h2G9N7
Flatiron Institute retweeted
Ever wondered how to make quasi-Newton methods practical for deep learning? Check out our new paper, SoftServe🍦!
Loved working on this with @dianarycai, @gowerrobert, and @tanyaisanumber during my Flatiron Institute internship this summer. Huge thanks to everyone!
How do we make quasi-Newton optimization methods practical for modern deep learning?
New preprint with @jooko303 @tanyaisanumber @gowerrobert on SoftServe -- a quasi-Newton method that designed for non-convex objectives, while also scaling to very large neural networks.
Flatiron Institute retweeted
English version:
youtu.be/L5NH8rRZSas
【YouTube新着動画】
MEET a rising star at RIKEN vol. 6|理研で活躍する若手研究者が、理研の魅力や研究環境、日々の暮らしを語ります。
今回登場するのは、基礎科学特別研究員の平島 敬也。AIやスパコンを駆使して天の川銀河の進化について研究しています。
🎥youtu.be/J5z_SBpm6oQ
MEET a rising star at RIKEN vol. 6|平島 敬也
「MEET a rising star at RIKEN」シリーズでは、理研で活躍する若手研究者が、理研の魅力や研究環境、日々の暮らしを語ります。今回登場するのは、基礎科学特別研究員の平島 敬也。理研 数理創造研究センター(iTHEMS)で、AIやスパコンを駆使して天の川銀河の進化について研究しています。ぜひご覧ください!
Flatiron Institute retweeted
How do we make quasi-Newton optimization methods practical for modern deep learning?
New preprint with @jooko303 @tanyaisanumber @gowerrobert on SoftServe -- a quasi-Newton method that designed for non-convex objectives, while also scaling to very large neural networks.


























