
Lukas Gaipl
Student Research Assistant

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About me
Data Scientist | Data Engineer | CFD & Combustion Simulation Expert
Education

Toulouse INP - Institut National Polytechnique de Toulouse
2022 - 2025Doctor of Philosophy - PhD Engineering Science• PhD - Thesis: Large eddy simulations of jet flames in crossflow with flame/wall interactions • Specialization: Large-scale numerical simulations of combustion processes, model development and advanced data analysis

FH Aachen University of Applied Sciences
2014 - 2019Bachelor of Engineering - BE Fahrzeug- und Antriebstechnik 2,1• Bachelor-Thesis: Numerical research of the spray ignition behaviour of oxymethylene -ethers under “Spray A” conditions• Focus: Renewable Powertrain Technologies

FH Aachen University of Applied Sciences
2019 - 2021Master of Science International Automotive Engineering 1,3• Master-Thesis: Numerical investigation of hot surface ignition processes in hydrogen internal combustion engines• Focus: Combustion Simulations, Numerical Modelisation for engineering applications
Experience

FEV Europe GmbH
Dec 2017 - Jul 2018Student Research Assistant• Development of data-processing pipelines in VBA and Excel.• Conducted in-depth examinations of vehicle application tests using INCA.

AUDI AG
Aug 2018 - Jan 2019Student InternManaged and optimized processes within the STAGES framework to ensure compliance with ISO26262 safety standards.• Developed automated Python scripts for data analysis in vehicle diagnostics• Optimized data evaluation logic and improved workflow efficiency with automated tools.

Institute for Combustion Technology, RWTH Aachen University
Mar 2019 - Dec 2021Designed, executed, and optimized complex computational fluid dynamics (CFD) based data analysis workflows to assess renewable fuel injection, ignition, and pollutant emissions under real-world engine conditions.• Applied Python-based statistical modeling to analyze large simulation datasets and extract key performance insights.• Developed data visualization tools using Seaborn and Matplotlib to improve interpretability of combustion simulations.• Conducted benchmarking & optimization of numerical algorithms for enhanced predictive accuracy.• Contributed to the development of CFD models for industrial applications Show less
Student Research Assistant
Mar 2019 - Dec 2021Master-Student
Nov 2020 - Jul 2021Bachelor Student
Mar 2019 - Oct 2019

CERFACS
Jan 2022 - nowApplied advanced numerical modeling and data-driven techniques to investigate combustion phenomena such as jet flames and flame-wall interactions. Collaborated with industry stakeholders to develop cost-efficient predictive modeling solutions for combustion applications.• Developed automated data analysis pipelines for combustion simulations with over 150 million data points.• Designed Python-based pre- and post-processing tools for a priori and a posteriori data exploration.• Build an advanced static mesh refinement framework using Python, version-controlled with GitLab CI/CD.• Conducted HPC simulations and analyzed large-scale datasets using NumPy, Pandas and SciPy• Authored peer-reviewed scientific publications and presented findings to international industrial and academic audiences. Show less
PHD Researcher
Aug 2022 - nowResearch Engineer
Jan 2022 - Aug 2022
Licenses & Certifications

Advanced Scientific Programming Practices
CERFACSMar 2024
Object Oriented Programming in C++
THEMANISMar 2022
Management of small projects
CERFACSMar 2024
Advanced Programming Practices in Python
THEMANISFeb 2023
Introduction to Git
CERFACSApr 2022
Bash
THEMANISFeb 2022
Fundamentals of Turbulent Combustion
CERFACSDec 2021
Test of English for International Communication (TOEIC)
Université Paul Sabatier Toulouse IIIMay 2023
Scientific presentations in english
Télécom SudParisMar 2023
Scientific Programing Basics
CERFACSMar 2024
Languages
- deDeutsch
- enEnglisch
- frFranzösisch
- spSpanisch
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