CV

🎓 Education Link to heading

M.Sc. in Computational Science (Physics)
Lund University
📅 Sep 2024 – Present

• Focus on numerical methods for ODEs/PDEs using MATLAB.

B.Sc. in Physics
Lund University
📅 Sep 2020 – Jun 2024

Python Deep learning Monte Carlo C# SQL

• Thesis: Machine Learning for Statistical Assessment of Radioactive Decay Chains
• Topics: Monte Carlo simulation, deep learning, C#, SQL, Python

💼 Professional Experience Link to heading

Sales Specialist
Jumbo Supermarkten – Oss, Netherlands
📅 2018 – 2020

• Managed product presentation and customer experience.
• Occasionally led a team of 3–5 employees.

Sales Assistant
Jumbo Supermarkten – Oss, Netherlands
📅 2015 – 2018

🙌 Volunteering Link to heading

System Administrator
DFRI – Sweden
📅 Jun – Aug 2023

• Maintained Linux infrastructure for a non-profit focused on digital rights.
• Projects included Docker containers and Nextcloud instance management.

Digital Literacy Instructor
City Library – Oss, Netherlands
📅 Sep 2013 – Jun 2014

• Taught digital skills to senior citizens in community sessions.

🛠️ Skills Link to heading

Languages & Tools:
Python, MATLAB, TensorFlow, C#, SQL, Git, Linux

Core Competencies:

• Numerical simulation
• Scientific computing
• Deep learning pipelines
• Version control and documentation
• System administration

🧪 Workshops Link to heading

• Programming with Fortran
  Leibniz Supercomputing Centre — Mar 11–13, 2025

• Git, Code Testing & Documentation
  EPFL CECAM (BioNT) — Feb 4–6, 2025

🌍 Languages Link to heading

📖 Publication Link to heading

Bachelor’s Thesis
P. Nelissen, Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains, Lund University, 2024.
📄 Read Online

👤 About Me Link to heading

I enjoy both in-depth technical challenges and broader scientific learning. I’m an avid reader, enjoy the outdoors, and thrive in environments that balance curiosity, creativity, and rigor.