Pablo Sarró Sánchez

MSc Student in Computational Science and Engineering, EPFL

Background
Hello! I am Pablo Sarró Sánchez, a Spanish student currently studying an MSc in Computational Science and Engineering at EPFL. I hold a BSc in Mathematical and Physical Engineering from URV, during which I spent my final year on an Exchange program at Vrije Universiteit Amsterdam (VU Amsterdam).

Academic Interests
In my Bachelor's degree, I developed a solid foundation in mathematics and physics, exploring how mathematical tools are used to model physical systems. Motivated by the wish to apply these concepts in practice, I started my Master's degree to learn how to use mathematical models to perform efficient simulations in scientific computing. My main areas of interest include computational modelling, artificial intelligence and numerical simulations. Currently, I am exploring how high-performance computing can optimise such simulations by writing parallel and concurrent code.

Applied Engineering
In addition, I love exploring new activities that lie outside of my comfort zone. As an example, I am currently Vice-President of the EPFL Spacecraft Team, where I also serve as Head of Operations and Treasurer, working hand in hand with ESA experts and technical engineers from diverse fields.

Personal Interests
I personally enjoy playing padel and running, which I do on a daily basis, as well as playing the piano and observing satellites in the night sky. Feel free to explore the other sections of this website to learn more.

Profile photo of Pablo Sarró Sánchez

Experience

My academic background and the roles I've taken on alongside it.

Education

Roles & Leadership

Projects

A selection of projects. Each one links to its code repository and a short written report.

Parallel N-Body Gravitational Simulator

A C++/MPI implementation of the Barnes–Hut algorithm for simulating gravitational interactions between thousands of bodies, benchmarked on an HPC cluster to evaluate scaling efficiency across multiple nodes.

  • C++
  • MPI
  • HPC
  • Numerical Methods

CubeSat Attitude Determination & Control

Simulation and analysis of attitude determination and control strategies for a 3U CubeSat, developed as part of my work with the EPFL Spacecraft Team, combining sensor modelling with control-loop design.

  • Python
  • Control Systems
  • Aerospace

Physics-Informed Neural Network for PDE Solving

An exploration of physics-informed neural networks (PINNs) applied to solving partial differential equations, comparing convergence and accuracy against traditional finite-element solvers.

  • Python
  • PyTorch
  • Machine Learning
  • PDEs

Prizes & Distinctions

CV

My full CV is available on request. Send me an email and I'll be happy to share it with you.

Request my CV

Contact

Feel free to reach out for collaborations, questions, or just to say hi.