diff --git a/config.yml b/config.yml
index 983a2a3..f0668bb 100644
--- a/config.yml
+++ b/config.yml
@@ -20,7 +20,7 @@ languages:
       main:
         - identifier: cv
           name: CV
-          url: https://git.pimnel.com/pim/CV/raw/branch/main/cv.pdf
+          url: https://github.com/pim-n/CV/blob/main/cv.pdf
           weight: 1
         - identifier: skills
           name: Skills
diff --git a/content/en/contact.md b/content/en/contact.md
index 8ee78ca..b8ec05c 100644
--- a/content/en/contact.md
+++ b/content/en/contact.md
@@ -5,4 +5,4 @@ slug = "contact"
 
 Email: pi0274ne-s@student.lu.se
 
-Phone: See my [CV](https://git.pimnel.com/pim/CV/raw/branch/main/cv.pdf).
\ No newline at end of file
+Phone: See my [CV](https://github.com/pim-n/CV/blob/main/cv.pdf).
\ No newline at end of file
diff --git a/content/en/skills.md b/content/en/skills.md
index dda8fb4..49ebc65 100644
--- a/content/en/skills.md
+++ b/content/en/skills.md
@@ -9,9 +9,9 @@ From my background in physics and computational science, I have a strong foundat
 
 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.
 
-My master degree thesis will be on furthering the development of a Bayesian algorithm for multisource detection in mobile gamma spectroscopy.
+I am currently working on my masters thesis. In the first half of my masters thesis I have developed 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).{{< /notice >}}
+{{< notice tip >}}A selection of code can be found on my [git instance](http://git.pimnel.com/pim).{{< /notice >}}
 
 ---