<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Simon L. Grimm | Global Pathogen Analysis Platform (GPAP) AI Research</title><link>https://gpap-project.github.io/author/simon-l.-grimm/</link><atom:link href="https://gpap-project.github.io/author/simon-l.-grimm/index.xml" rel="self" type="application/rss+xml"/><description>Simon L. Grimm</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 29 Apr 2024 00:00:00 +0000</lastBuildDate><image><url>https://gpap-project.github.io/media/logo.svg</url><title>Simon L. Grimm</title><link>https://gpap-project.github.io/author/simon-l.-grimm/</link></image><item><title>Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models</title><link>https://gpap-project.github.io/publication/bouman-2023-bayesian/</link><pubDate>Mon, 29 Apr 2024 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/bouman-2023-bayesian/</guid><description/></item></channel></rss>