Pim Nelissen

Contact

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Email: pi0274ne-s@student.lu.se

CV

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🎓 Education Link to heading

2024 - now

M.Sc. in Computational Science (Physics)

Lund University, Sweden 🇸🇪

Numerical ODE/PDE solvers MATLAB Monte Carlo Subatomic Physics

2020 - 2024

B.Sc. in Physics

Lund University, Sweden 🇸🇪

Python Deep learning Monte Carlo C# SQL

Bachelor thesis: "Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains", Lund University Publications, 2024. Open Access

💼 Professional Experience Link to heading

2018 - 2020

Sales Specialist

Jumbo Supermarkten, Netherlands 🇳🇱

Projects

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Lorem

Skills

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Core Competencies Link to heading

From my background in physics and computational science, I have a strong foundation in numerical methods and Monte Carlo simulations for solving physical problems. I am particularly interested by nuclear physics. My bachelor degree thesis is about applying machine learning on radioactive decay data. I am proficient in Python and have some exposure to C#, MATLAB, and SQL. I am very comfortable with GNU/Linux and Git workflows.