Guillermo Lorenzo

Guillermo Lorenzo ^M

Guillermo Lorenzo is a member of the Mathematical Oncology Editorial Board. He is an assistant editor of the MathOnco website and a postdoctoral researcher at the Health Research Institute of Santiago de Compostela (IDIS) in Spain. His research focuses on developing biology-based mechanistic models and computational methods informed by clinical and imaging data to obtain personalized tumor forecasts that enable optimization of cancer monitoring and treatment.

Blog posts written by Guillermo Lorenzo ^M :

Browse the article contributions of Guillermo Lorenzo below or browse the full blog here.

BIRS Recap: Biophysically-Constrained GBM Predictions via Deep-Learning Integrating Structural SINDY with Mechanistic Filters

Workshop Report (Mechanistic Learning as a combination of Machine Learning and Modeling in Mathematical Oncology. BIRS, Banff, CA, Jan 5-10,...

Written by Divyanshu Tak, Guillermo Lorenzo, Jana Lipkova, Morten Andersen, Matthew Faria, Russell Rockne, Sarah Brüningk, Philipp Altrock on May 13, 2025

New feature: List of datasets for MathOnco research

As MathOnco researchers, we often find ourselves in need of specific data to test a new idea, calibrate our models,...

Written by Guillermo Lorenzo, David Hormuth on March 07, 2023

Artworks by Guillermo Lorenzo ^M :

Each week, we feature cover artwork submitted by mathematical oncology researchers around the world. Browse the contributions of Guillermo Lorenzo below. Click to expand each cover, or browse the full collection here.

Issue 294

"In our recent work, we carried out a pilot project on personalized computational forecasting of prostate cancer growth during active..."

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Issue 272

"In our recent work, we investigate a new spatiotemporal biology-based model to forecast breast cancer growth and response to neoadjuvant..."