<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>Meet a Scientist</title>
    <link>https://www.space.uzh.ch/en/opportunities/meet-a-scientist.html</link>
    <description />
    <item>
      <title>Dr. Gabriele Cugno</title>
      <link>https://www.space.uzh.ch/en/opportunities/meet-a-scientist/meet-a-scientist--gabriele-cugno0.html</link>
      <media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://www.space.uzh.ch/dam/jcr:3cbebda1-6882-46c2-ae22-df810d506a4d/15821_Cugno.jpg" width="90" height="60" />
      <description><![CDATA[<p><em>UZH astronomer Dr. Gabriele Cugno is one of a few researchers in Switzerland working with data from the James Webb Space Telescope (JWST), one of the most powerful space-based telescopes ever built. In this interview, he talks about his work detecting moon-forming disks around young exoplanets and using molecular mapping to study their composition, shedding light on how moons and giant planets form and what this tells us about the origins of planetary systems like our own.</em></p>]]></description>
      <pubDate>Thu, 12 Mar 2026 08:55:34 GMT</pubDate>
      <guid>https://www.space.uzh.ch/en/opportunities/meet-a-scientist/meet-a-scientist--gabriele-cugno0.html</guid>
      <dc:date>2026-03-12T08:55:34Z</dc:date>
    </item>
    <item>
      <title>Dr. Lukas Drees</title>
      <link>https://www.space.uzh.ch/en/opportunities/meet-a-scientist/lukas-drees-interview0.html</link>
      <media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://www.space.uzh.ch/dam/jcr:93431cf6-4fea-44b9-b637-2a29567a7ed9/Lukas_feat_image.png" width="90" height="60" />
      <description><![CDATA[<p><em>Lukas Drees, UZH Space representative and postdoctoral researcher at the EcoVision Lab at UZH as well as a member of the DIZH Public Data Lab, explains in this interview how he aims to bridge a gap between public perceptions of machine learning and what the technology actually is and can do, and why the Public Data Lab is particularly well suited to this task.<br />
<a href=&quot;https://publicdatalab.ch/ml-kunst/&quot;>Read the full interview here</a></em></p>]]></description>
      <pubDate>Thu, 12 Mar 2026 09:32:07 GMT</pubDate>
      <guid>https://www.space.uzh.ch/en/opportunities/meet-a-scientist/lukas-drees-interview0.html</guid>
      <dc:creator>Katia Soland</dc:creator>
      <dc:date>2026-03-12T09:32:07Z</dc:date>
    </item>
  </channel>
</rss>
