<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pilar | GISC</title><link>https://gisc.uc3m.es/author/pilar/</link><atom:link href="https://gisc.uc3m.es/author/pilar/index.xml" rel="self" type="application/rss+xml"/><description>Pilar</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://gisc.uc3m.es/media/icon_hu212f6da20563f86889fc97a02f651ce8_31356_512x512_fill_lanczos_center_3.png</url><title>Pilar</title><link>https://gisc.uc3m.es/author/pilar/</link></image><item><title>Pilar Guerrero</title><link>https://gisc.uc3m.es/author/pilar-guerrero/</link><pubDate>Mon, 04 Aug 2025 00:00:00 +0000</pubDate><guid>https://gisc.uc3m.es/author/pilar-guerrero/</guid><description>&lt;p>Pilar Guerrero received her PhD in Mathematics from the University of Granada, Spain, under a project grant from the Junta de Andalucía (2005–2010), working on qualitative aspects of partial differential equations arising in developmental biology and quantum mechanics. From 2010 to 2013, she was a postdoctoral researcher at the Centre de Recerca Matemàtica (Barcelona, Spain), in the Mathematical and Computational Biology group led by Tomás Alarcón, with a visiting stay at the OCCAM centre, University of Oxford (UK), working with Helen Byrne and Philip K. Maini. From 2013 to 2018, she was a postdoctoral researcher at University College London (UK), working with Karen Page (UCL Mathematics) and James Briscoe (Francis Crick Institute).&lt;/p>
&lt;p>She is currently an Associate Professor at Universidad Carlos III de Madrid (Spain), and a member of the Interdisciplinary Group for Complex Systems (GISC). Her main research interests are in mathematical biology and stochastic modelling, mainly developing hybrid models that combine reaction-diffusion equations, stochastic vertex models, and multiscale simulations to understand how mechanics and noise govern the collective behaviour of cell populations.&lt;/p></description></item></channel></rss>