Welcome! I am Dr. Bernat Font (he/his), Assistant Professor in Data-Informed Computational Fluid Dynamics (CFD) at TU Delft. My main research interest focuses on exploiting data to improve current CFD methods in terms of performance, optimization, and modelling. I also enjoy working in the numerical methods and high-performance computing side of CFD.

Some of my current projects involve:

  • CFD solver acceleration using generative machine-learning (ML) models
  • Deep reinforcement learning for active flow control
  • Scale-resolving simulation for high-speed flows using low- and high-order methods
  • ML wall modelling for non-equilibrium boundary layers
  • PDE discovery from raw data using ML and sparse regression
  • WaterLily.jl: A Julia CFD solver using finite-volume and immersed-boundary methods with backend-agnostic execution (CPU/GPU)
  • Flower1D.jl: Flux reconstruction fluid flow solver for 1D PDEs written in Julia

I advocate for open-science. Most of my papers have an e-print version you can download for free. The codes I write are also open-source, and you can find them in my Github repository. Please feel free to get in touch for questions, suggestions, or collaborations.


Contact and CV

Feel free to checkout my CV and my LinkedIn profile.

  • Email: bernatfontgarcia AT gmail DOT com
  • Office: Delft University of Technology, Faculty of Mechanical Engineering
                Mekelweg 2, 2628 CD Delft (The Netherlands)