- - Contact - -
-Email: pi0274ne-s@student.lu.se
- -diff --git a/public/en/404.html b/public/en/404.html index fa4af6a..4b070f3 100644 --- a/public/en/404.html +++ b/public/en/404.html @@ -1,208 +1,9 @@ - - - -
-Email: pi0274ne-s@student.lu.se
- -Lund University, Sweden 🇸🇪
Numerical ODE/PDE solvers
MATLAB
Monte Carlo
Subatomic Physics
Lund University, Sweden 🇸🇪
Python
Deep learning
Monte Carlo
C#
SQL
Jumbo Supermarkten, Netherlands 🇳🇱
Leadership
Jumbo Supermarkten, Netherlands 🇳🇱
DFRI, Sweden 🇸🇪
GNU/Linux
Docker
Nextcloud
City Library Oss, Netherlands 🇳🇱
Teaching
Organising
Nextcloud
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.
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.
Lorem
- -Lorem
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.
-Python
MATLAB
TensorFlow
C#
SQL
Git
GNU/Linux
I like to attend (online) workshops in order to broaden my knowledge or refresh some old skills. Below is a timeline of selected workshops which I have followed in the past.
-Jülich Supercomputing Centre, Germany 🇩🇪
-MCMC
PyMC3
Supercomputer usage
Leibniz Supercomputing Centre, Germany 🇩🇪
-Arrays
Subroutines
Derived Types
I/O
Performance considerations
EPFL CECAM & BioNT, Switzerland 🇨🇭
-Git (CLI)
Continuous Integration
Code Documentation
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.
Python
MATLAB
TensorFlow
C#
SQL
Git
GNU/Linux
I like to attend (online) workshops in order to broaden my knowledge or refresh some old skills. Below is a timeline of selected workshops which I have followed in the past.
Jülich Supercomputing Centre, Germany 🇩🇪
MCMC
PyMC3
Supercomputer usage
Leibniz Supercomputing Centre, Germany 🇩🇪
Arrays
Subroutines
Derived Types
I/O
Performance considerations
EPFL CECAM & BioNT, Switzerland 🇨🇭
Git (CLI)
Continuous Integration
Code Documentation