Francesco Ramunno

PhD student in Machine Learning at University of Geneva and University of Northwestern Switzerland (FHNW). Collaborating with @PolymathicAI

[Rudy Morel @rdMorel]

Want to develop ML methods for Physics?

Check out our summer internships in the Center for Computational Mathematics at the Flatiron Institute @FlatironInst

Location: Manhattan, New York
Apply here: https://t.co/FzcRXDjccP
Deadline: Jan 16, 2026

[Helen Qu @_helenqu]

quick update: i started a blog!

my first post is live & explains the unstable learning dynamics caused by the "deadly triad" of RL through the lens of basic optimization theory. this was so much fun to learn/write about, hope yall enjoy ✨

https://t.co/hAD4BACfYQ 🧵

[Shirley Ho @cosmo_shirley]

🚀We’re looking for amazing scientists and engineers to join @PolymathicAI (NYC)!

Want to work on scientific foundation models + ML for physics, biology, astronomy, solar physics & more?

Want to contribute to frontier research in AI with the most brilliant and fun crowd?

Please sign up on our interest form:
👉https://t.co/zSWOh4dHJf

#Hiring #MachineLearning #Science

[Rudy Morel @rdMorel]

Partial observability is a key challenge in predicting physical systems, where only part of the state is observed.

Check out our poster #2213 at #neurips2025 on Thu, Dec 4, 4:30pm! We propose a multiscale inference scheme for diffusion models to better predict these systems.

[Shirley Ho @cosmo_shirley]

🚀We’re looking for 2026 interns at @PolymathicAI (NYC)!

Want to work on scientific foundation models + ML for physics, biology, astronomy, & more?

Want to contribute to frontier research with a brilliant, fun, and friendly team?

Please sign up on our interest form 👉 https://t.co/KpBwT7UIPf

#Hiring #Internship #MachineLearning

[Shirley Ho @cosmo_shirley]

So proud to see the culmination of effort led by @mikemccabe210 @PayelMukhopadh3 @__tm__157 @BrunoRegaldo @FrancoisRozet along with the amazing team at @PolymathicAI to produce

The first "Polymathic"/cross-disciplinary AI model for fluid dynamics!

We started with creating The Well, the first internet scale of fluids dataset co-led by @mikemccabe210 and @oharub with the goal of creating the first cross-disciplinary fluid model!

Now it is here, and we are lovingly naming it the Polymathic Walrus 😁!

[Shirley Ho @cosmo_shirley]

Wanna really fundamentally change science using ML?

Come join the @PolymathicAI initiative at our Cambridge (UK) location!

[François Rozet @FrancoisRozet]

Does a smaller latent space lead to worse generation in latent diffusion models? Not necessarily! We show that LDMs are extremely robust to a wide range of compression rates (10-1000x) in the context of physics emulation.

We got lost in latent space. Join us 👇

[Shirley Ho @cosmo_shirley]

The final days of summer are upon us, and it is bittersweet to say goodbye to our great group of @PolymathicAI interns! 😭 @JacopoTeneggi @cskokgibbs @astro_nolan @CristianaD2202 @LouisSerrano31 @rachelczhang

Here are a few pics to remind us all the fun we had! (and hold your breath for our amazing list of papers led by our interns out soon!)

[Tanya Marwah @__tm__157]

This is the first step in a direction that I am very excited about! Using LLMs to solve scientific computing problems and potentially discover faster (or new) algorithms. #AI4Science #ML4PDEs

We show that LLMs can write PDE solver code, choose appropriate algorithms, and produce stable implementations.

Please read @Shanda_Li_2000's thread for more details on our work. 🧵👇

[Francesco Ramunno @FrankPRCP]

@elonmusk Parè tu tien i problem