Evert Bunschoten
Doctoral Researcher at TU Delft, Netherlands
Zoetermeer, South Holland, Netherlands
Summary
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Rockstar🎓
Top SchoolEvert Bunschoten is a doctoral researcher at TU Delft with eight years of aerospace engineering experience, specializing in combustion simulation, hydrogen combustion modelling, and CFD solver development. He combines strong C++, Python, and Matlab skills to implement physics-informed machine learning within the SU2 open-source CFD suite—contributing an MLP-based NeuralNetwork and lookup classes and fixing core I/O bugs. His work spans developing computationally efficient, non-ideal flow solvers for turbomachinery and teaching, bridging theoretical research with production-grade code. Based in the Netherlands, he brings practical experience from multidisciplinary projects and GPU-aware tooling (CUDA training), enabling him to translate complex combustion physics into performant, data-driven solvers.
8 years of coding experience
CUDA Introductory course, CUDA Introductory course at TU Delft | Mechanical EngineeringPhD, Aerospace, Aeronautical and Astronautical Engineering, PhD, Aerospace, Aeronautical and Astronautical Engineering at Delft University of Technology
Dutch, English, German
Github Skills (10)
fluid-dynamics10
cfengine10
machine-learning10
c-language10
cfc10
cprogramming-language10
mlp10
cfml10
open-source9
python8
Programming languages (4)
Github contributions (5)
su2code/SU2
May 2021 - Jan 2023
SU2: An Open-Source Suite for Multiphysics Simulation and Design
Role in this project:
Back-end Developer
Back-end DeveloperContributions:65 reviews, 165 commits, 25 PRs in 1 year 8 months
Contributions summary:Evert implemented and added classes for a Multi-Layer Perceptron (MLP) model within the `SU2` CFD software, specifically focusing on the `numerics` folder. This included the creation of a `NeuralNetwork` class to evaluate MLPs and a `CLookUp_ANN` class used for lookup operations. Furthermore, the user fixed a bug in the MLP file reader related to input-output mapping. This shows a contribution to the development of a data-driven fluid model by implementing and improving the core components.
physicsmultiphysics-simulationpythoncfdsnl-applications
EvertBunschoten/SU2_DataMiner
Jul 2024 - Apr 2025
Workflow for setting up fluid data manifolds for data-driven simulations in SU2
Contributions:2 PRs, 109 pushes, 9 branches in 8 months
cfdmachine-learningsu2
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