Guillermo Lorenzo
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glorenzogz.bsky.social
Guillermo Lorenzo
@glorenzogz.bsky.social
Ramón y Cajal fellow at GMNI in UDC and affiliate researcher at CCO in the Oden Institute at UT Austin.
Researcher in computational oncology and predictive medicine.
Based in A Coruña, Spain.
Web: http://www.glorenzophd.com
📢📜🚀 New paper out ! We present iterative algorithms to reconstruct early stages of prostate cancer growth from a single snapshot of the tumor combining a phase-field model with adaptive gradient descent and isogeometric analysis.

Check it out 👉 doi.org/10.1007/s003...
Iterative Algorithms for the Reconstruction of Early Stages of Prostate Cancer Growth - Journal of Nonlinear Science
The development of mathematical models of cancer informed by time-resolved measurements has enabled personalised predictions of tumour growth and treatment response. However, frequent cancer monitorin...
doi.org
November 12, 2025 at 11:51 AM
🚀Thrilled & honored to receive an @erc.europa.eu Starting Grant for my #mathonco project DIGIPRO - Digital twins for cancer progression based on multiscale structured models and mechanistic learning. Stay tuned for exciting work and job openings !
📣 The ERC Starting Grant call results are out!

Find out which early-career researchers will receive funding this year, what they will be investigating, where they will be based... plus lots of other #ERCStG facts & figures for 2025!

➡️ buff.ly/IsafuFh

#FrontierResearch 🇪🇺#EUfunded #HorizonEurope
September 4, 2025 at 3:30 PM
Hey #USNCCM18 ! Come check out recent developments in computational oncology during our #mathonco minisymposium during the morning technical sessions ! We have a fantastic line-up of six speakers ready for you !
July 21, 2025 at 1:52 PM
Hi #SMB2025 ! If you want to learn more about recent developments in mathematical models, computational methods, and clinical implemention cases of digital twin in oncology, then you don't want to miss the first part of our #mathonco minisymposium. Come check it out ! 👇
July 14, 2025 at 1:25 PM
New #mathonco blog post ! My colleagues and I present Biophysically-Constrained GBM Predictions via Deep-Learning Integrating Structural SINDY with Mechanistic Filters, a new line of work that we started at BIRS earlier this year. Check it out !

mathematical-oncology.org/blog/gbm-pre...
BIRS Recap: Biophysically-Constrained GBM Predictions via Deep-Learning Integrating Structural SINDY with Mechanistic Filters
mathematical-oncology.org
mathematical-oncology.org
May 22, 2025 at 7:22 AM
Thrilled and deeply honored to receive the Juan C. Simó Prize from SEMNI ! Grateful to the selection and executive committees for this award, and to all my mentors, collaborators, and students who have supported my journey in computational mechanics. Onwards and upwards!
May 10, 2025 at 11:28 AM
For the last two weeks I enjoyed a trip to the US to visit my colleagues Hector Gomez and Mirian Velay at Purdue University, and then attend #AACR, which was a fantastic meeting. It's hard to recover from two exciting weeks of science and friends!
May 8, 2025 at 5:03 PM
Many thanks to Fundación BBVA for funding my project PROBREAST: Personalized forecasting of the therapeutic response of triple negative breast cancer through MRI-informed biomechanistic simulations and machine learning. Great #mathonco research coming up!
www.redleonardo.es/noticias/adj...
Resolución de las Becas Leonardo 2024 en Física, Química e Ingenierías
Las comisiones evaluadoras han seleccionado 20 proyectos altamente innovadores en estos tres campos fundamentales de la ciencia y la tecnología
www.redleonardo.es
April 1, 2025 at 6:33 PM
📢📜 New #mathonco preprint out ! Mathematical models can forecast tumor growth and treatment response, but robust strategies are needed for their validation. We review the state of the art for this task, and outline existing challenges for future work.
arxiv.org/abs/2502.19333
Validating the predictions of mathematical models describing tumor growth and treatment response
Despite advances in methods to interrogate tumor biology, the observational and population-based approach of classical cancer research and clinical oncology does not enable anticipation of tumor outco...
arxiv.org
February 27, 2025 at 8:22 PM
Back home after an exciting week learning the latest and greatest of digital twins and AI-based computational methods for engineering and applied sciences in #DTE & #AICOMAS in Paris. Lots of science, friends, and crêpes ! Looking forward to apply new ideas in my work.
February 23, 2025 at 9:07 PM
Bonjour ! If you are attending #DTE & #AICOMAS in Paris, Paolo Zunino from @mox_lab @polimi and I are organizing a #mathonco session this afternoon in the Amphi Esquillan. Join us to learn the latest and greatest on digital twins and AI approaches for applications in oncology !
February 20, 2025 at 10:33 AM
Reposted by Guillermo Lorenzo
Are you interested in joining the only mathematical oncology department @mathonco.bsky.social in a cancer center @moffittnews.bsky.social in the world? We have an open rank position (assistant/associate/full) available now! Apply here: moffitt-cancer-center-careers.hctsportals.com/jobs/1859278...
February 14, 2025 at 11:15 PM
Had a great week at BIRS attending a workshop on mechanistic learning in #mathonco organized by Sarah Bruningk, Renee Brady-Nichols, and Kathleen Wilkie. Great people, great ideas, great location. Looking forward to seeing how the new collaborations started this week go on!
January 12, 2025 at 1:57 PM
Reposted by Guillermo Lorenzo
I made a starting package of the #mathonco community. Let’s all get together again. Let me know if you would like to be added. go.bsky.app/UpYF6Ak
November 20, 2024 at 8:02 AM