<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Education | LOOPS Research Group</title><link>https://p-quintanilla.github.io/tag/education/</link><atom:link href="https://p-quintanilla.github.io/tag/education/index.xml" rel="self" type="application/rss+xml"/><description>Education</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 02 Oct 2026 00:00:00 +0000</lastBuildDate><image><url>https://p-quintanilla.github.io/media/sharing.jpg</url><title>Education</title><link>https://p-quintanilla.github.io/tag/education/</link></image><item><title>Joining the EFCE AI for Chemical Engineering Section</title><link>https://p-quintanilla.github.io/post/efce-ai4ce-steering-committee/</link><pubDate>Fri, 02 Oct 2026 00:00:00 +0000</pubDate><guid>https://p-quintanilla.github.io/post/efce-ai4ce-steering-committee/</guid><description>&lt;p>How should chemical engineering adopt AI responsibly, and how do we prepare the next generation of engineers for it? 🤖⚗️&lt;/p>
&lt;p>I am excited to be contributing to the new &lt;strong>&lt;a href="https://efce.info/Section_AI4CE.html#Mission" target="_blank" rel="noopener">EFCE Section on AI for Chemical Engineering (AI4CE)&lt;/a>&lt;/strong> of the European Federation of Chemical Engineering. The section aims to connect, support and inform the EFCE community in the responsible and impactful adoption of AI in chemical and process engineering, with a strong focus on industrial applications, research coordination, training and education, and evidence-based policy.&lt;/p>
&lt;p>I recently took part in the section&amp;rsquo;s &lt;strong>first steering committee meeting&lt;/strong> at the &lt;strong>University of Almería&lt;/strong> 🇪🇸. The two days covered:&lt;/p>
&lt;ul>
&lt;li>🔬 &lt;strong>Research:&lt;/strong> what good AI research in chemical engineering looks like, how academia can support industry, and the need for shared &lt;strong>benchmarks and datasets&lt;/strong> so results are reproducible across groups.&lt;/li>
&lt;li>🎓 &lt;strong>Education:&lt;/strong> how training and teaching can keep pace with an AI landscape that is changing faster than university curricula.&lt;/li>
&lt;/ul>
&lt;p>These questions are close to the heart of our work at LOOPS, from data-efficient and physics-informed machine learning to LLM-assisted modelling, and I look forward to bringing our perspective to the section&amp;rsquo;s activities.&lt;/p>
&lt;p>🔗 &lt;a href="https://efce.info/Section_AI4CE.html#Mission" target="_blank" rel="noopener">Learn more about EFCE AI4CE&lt;/a>&lt;/p></description></item></channel></rss>