<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ana María Gómez Martínez | MLO Lab</title><link>https://mlo-lab.github.io/author/ana-maria-gomez-martinez/</link><atom:link href="https://mlo-lab.github.io/author/ana-maria-gomez-martinez/index.xml" rel="self" type="application/rss+xml"/><description>Ana María Gómez Martínez</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><copyright>© 2026 MLO Lab</copyright><image><url>https://mlo-lab.github.io/author/ana-maria-gomez-martinez/avatar_hu_c49c520a24aff329.png</url><title>Ana María Gómez Martínez</title><link>https://mlo-lab.github.io/author/ana-maria-gomez-martinez/</link></image><item><title>Ana María Gómez Martínez</title><link>https://mlo-lab.github.io/author/ana-maria-gomez-martinez/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://mlo-lab.github.io/author/ana-maria-gomez-martinez/</guid><description>&lt;p&gt;Ana María Gómez Martínez is a doctoral candidate in Bioinformatics, specializing in machine learning in oncology, working jointly at Prof. Dr. Florian Buettner&amp;rsquo;s lab in Frankfurt and the Department of Oncology and Haematology at Prof. Dr. med. Lena Illert&amp;rsquo;s lab in Göttingen. Following an Erasmus stay at the University of Münster, during which she completed her bachelor&amp;rsquo;s thesis in Bioinformatics, she specialized in Bioinformatics and Biostatistics during her master&amp;rsquo;s studies.&lt;/p&gt;
&lt;p&gt;She completed research internships at the Data Science and Computational Intelligence Institute in Granada, Spain, focusing on medical text analysis, and at the Institute of Human Genetics in Ulm, working on B-cell lymphoma. She later contributed to translational single-cell research in multiple sclerosis at the Biomedical Center of LMU Munich before joining Prof. Lena Illert&amp;rsquo;s Personalized Oncology group, first at TUM University Hospital and now at Göttingen University Hospital. Her PhD research focuses on integrating multimodal data, combining H&amp;amp;E whole-slide images, immunofluorescence images, and transcriptomic data to investigate rectal adenocarcinoma and advance precision oncology.&lt;/p&gt;</description></item></channel></rss>