Hi there! My name is Andre Weiner. I am a research scientist working on computational fluid dynamics (CFD) and machine learning (ML). Besides ML and CFD, I am also interested in making research reproducible by employing containerization and version control (Docker, Singularity, Git, Github). Reproducibility also implies full transparency regarding source code and workflows, which is why my work as well as the work of students I supervise is available on Github. I am also an advocate for self-determined, lifelong learning.

That’s me in 2017.

Profile pages

If you are interested in my academic curriculum, have a look at the following profile pages:

Scientific software packages

  • flowTorch - a Python library for analysis and reduced-order modeling of fluid flows, Github
  • drlFoam - Deep Reinforcement Learning with OpenFOAM, Github

University courses

Presentation and training slides

Supervised student projects