Welcome 👋
Ever wished you could skip the line at the checkout?
That's (kind of) what I do ... but with equations.
I’m Rémy Vallot, PhD candidate in Applied Mathematics at ENS Paris-Saclay (Centre Borelli), working with Michelin.
I study nonlinear solvers, algorithms that solve tough equations, and I try to make them converge faster. Much faster.
What's the problem?
Solvers are like queues: they start somewhere and go step-by-step until they reach the solution.
But starting from scratch is slow, and each step takes time. I look for smart ways to:
🔁 start closer to the answer (smart initialization)
⚡ make each step more effective (better iterations)
I use tools from optimization, physics, and machine learning — with a special love for POD (Proper Orthogonal Decomposition for newcomers).
Outside math?
I’m passionate about creativity whether it’s through music, composing, drawing, animation, or coding playful ideas.
Let's connect! 🤝
I love challenges where applied math meets real-world mess.
Feel free to get in touch or explore the rest!