diff --git a/docs/contact.md b/docs/contact.md
index cc07073..aa4f35e 100644
--- a/docs/contact.md
+++ b/docs/contact.md
@@ -8,6 +8,3 @@ If you need any help with setting up a Github repository with any of the tools s
 - Jørgen S. Dokken: <i class="fab fa-github"></i> [jorgensd](https://github.com/jorgensd)
 - Henrik N.T. Finsberg: <i class="fab fa-github"></i> [finsberg](https://github.com/finsberg)
 - Nickolas Forsch: <i class="fab fa-github"></i> [nforsch](https://github.com/nforsch)
-- Anne Fouilloux: <i class="fab fa-github"></i> [annefou](https://github.com/annefou)
-- Ingeborg Gjerde: <i class="fab fa-github"></i> [IngeborgGjerde](https://github.com/IngeborgGjerde)
-- Benjamin Ragan-Kelley: <i class="fab fa-github"></i> [minrk](https://github.com/minrk)
diff --git a/docs/resources.md b/docs/resources.md
index 2076847..f7341a0 100644
--- a/docs/resources.md
+++ b/docs/resources.md
@@ -12,4 +12,6 @@ There are a few very good online guides on reproducible research.
 
 - [Papers with code](https://github.com/paperswithcode) which is probably more targeted machine learning projects. The also have a pretty comprehensive guide at https://github.com/paperswithcode/releasing-research-code.
 
+- [Reproducible Machine Learning Workflows for Scientists with Pixi](https://matthewfeickert-talks.github.io/reproducible-ml-for-scientists-with-pixi-scipy-2025/) is practical introduction to using Pixi to easily create scientific and AI/ML environments
+
 Getting inspiration from other project is often a good way. Papers with code also has a [web page](https://paperswithcode.com) where you can search for papers with code. For example you, could try to [search for FEniCS](https://paperswithcode.com/search?q_meta=&q_type=&q=FEniCS) and you will get a list of projects where FEniCS is mentioned.