+++
title = "Skills"
slug = "skills"
+++

## 🌟 Core Competencies

From my background in physics and computational science, I have a strong foundation in using numerical methods and statistical methods for solving physical problems. Examples of such methods include numerical methods for differential equations, Monte Carlo simulations, statistical learning including Bayesian methods and machine learning, both supervised and unsupervised approaches.

I am particularly interested in using those skills for peaceful applications of nuclear science. My [bachelor degree thesis](http://lup.lub.lu.se/student-papers/record/9168893) was about applying machine learning on radioactive decay data. I am proficient in Python, experienced with R and MATLAB, and have some exposure to C++, C# and SQL. I am very comfortable with GNU/Linux and Git workflows.

I am currently working on my masters thesis. In the first half of my masters thesis I have developed [PG-RAD](http://github.com/pim-n/pg-rad), a Python simulation tool for generating realistic mobile gamma spectrometry data that mimics real-world data. It is particularly useful for simulating localization scenarios of radioactive point sources using car-borne spectrometry setups. In the second half of my thesis, I am using the generated data to quickly generate various scenarios, in order to test Bayesian source localization algorithms for their effectiveness at localizing sources as a function of source activity, source distance from the road, and more.

{{< notice tip >}}A selection of code can be found on my [git instance](http://git.pimnel.com/pim).{{< /notice >}}

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## 🧪 Workshops & Summer Schools
I like to attend summer schools and (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.

<div class="timeline">
  <div class="timeline-item">
    <div class="dot"></div>
    <div class="timeline-date">Jan 2026</div>
    <div class="timeline-content">
      <h4>Modern Python in Depth</h4>
      <p><i class="fas fa-graduation-cap"></i> <a href="https://www.sc.lrz.de/" target="_blank">Leibniz Supercomputing Centre</a>, Germany 🇩🇪</p>
      <p>Online workshop.</p>
      <p><code>Scientific computing</code> <code>Modern Python standard</code></p>
    </div>
  </div>
  <div class="timeline-item">
    <div class="dot"></div>
    <div class="timeline-date">Dec 2025</div>
    <div class="timeline-content">
      <h4>Core Modeling For Core Design</h4>
      <p><i class="fas fa-graduation-cap"></i> <a href="http://www.great-pioneer.eu" target="_blank">GRE@T-PIONEeR</a> @ Chalmers University of Technology, Sweden 🇸🇪</p>
      <p>One week course on-site at Chalmers. Learned the principles of probabilistic and deterministic methods for steady-state core modelling, applied to reference calculations, operations and safety analysis.</p>
      <p><code>Reactor physics</code> <code>Nuclear engineering</code></p>
    </div>
  </div>
  <div class="timeline-item">
    <div class="dot"></div>
    <div class="timeline-date">Sep 2025</div>
    <div class="timeline-content">
      <h4>ENEN2+ Nuclear Summer School</h4>
      <p><i class="fas fa-graduation-cap"></i> <a href="http://www.reak.bme.hu/en/home.html" target="_blank">Budapest University of Technology and Economics</a>, Hungary 🇭🇺</p>
      <p>Participated in a week summer school at the BME Training reactor in Budapest, on scholarship from the European Nuclear Education Network. Experiments were focused on the principles of reactor physics; determining neutron flux, criticality experiments, and operations.</p>
      <p><code>Reactor physics</code> <code>Experimental physics</code></p>
    </div>
  </div>
  <div class="timeline-item">
    <div class="dot"></div>
    <div class="timeline-date">Jun 2025</div>
    <div class="timeline-content">
      <h4>High-performance Computing with Python</h4>
      <p><i class="fas fa-graduation-cap"></i> <a href="https://www.fz-juelich.de/en/ias/jsc" target="_blank">Jülich Supercomputing Centre</a>, Germany 🇩🇪</p>
      <p>Online workshop.</p>
      <p><code>HPC</code>
      <code>Parallelization</code> <code>Scripting</code></p>
    </div>
  </div>
  <div class="timeline-item">
    <div class="dot"></div>
    <div class="timeline-date">Jun 2025</div>
    <div class="timeline-content">
      <h4>Intermediate Bash and Linux</h4>
      <p><i class="fas fa-graduation-cap"></i> <a href="https://www.hpc2n.umu.se/" target="_blank">HPC2N, Umeå University</a>, Sweden 🇸🇪</p>
      <p>Online workshop.</p>
      <p><code>grep</code> <code>Sed and AWK</code> <code>Bash scripting</code></p>
    </div>
  </div>
  <div class="timeline-item">
    <div class="dot"></div>
    <div class="timeline-date">Mar 2025</div>
    <div class="timeline-content">
      <h4>Bayesian Statistical Learning</h4>
      <p><i class="fas fa-graduation-cap"></i> <a href="https://www.fz-juelich.de/en/ias/jsc" target="_blank">Jülich Supercomputing Centre</a>, Germany 🇩🇪</p>
      <p>Online workshop.</p>
      <p><code>MCMC</code> <code>PyMC3</code> <code>Supercomputer usage</code></p>
    </div>
  </div>
  <div class="timeline-item">
    <div class="dot"></div>
    <div class="timeline-date">Mar 2025</div>
    <div class="timeline-content">
      <h4>Programming with Fortran</h4>
      <p><i class="fas fa-graduation-cap"></i> <a href="https://www.sc.lrz.de/" target="_blank">Leibniz Supercomputing Centre</a>, Germany 🇩🇪</p>
      <p>Online workshop.</p>
      <p><code>Arrays</code> <code>Subroutines</code> <code>Derived Types</code> <code>I/O</code> <code>Performance considerations</code></p>
    </div>
  </div>
<div class="timeline-item">
    <div class="dot"></div>
    <div class="timeline-date">Feb 2025</div>
    <div class="timeline-content">
      <h4>Code & Collaborate: The FAIRytale of Software Development</h4>
      <p><i class="fas fa-graduation-cap"></i> <a href="https://www.cecam.org/" target="_blank">EPFL CECAM</a> & <a href="https://biont-training.eu/" target="_blank">BioNT</a>, Switzerland 🇨🇭</p>
      <p>Online workshop.</p>
      <p><code>Git (CLI)</code> <code>Continuous Integration</code> <code>Code Documentation</code></p>
    </div>
  </div>
</div>