Guillermo Lorenzo Gómez

Civil engineer, he graduated from the University of A Coruña (UDC), where he also earned a Master’s degree in Civil Engineering Research (2014) and a PhD in Computational Methods in Engineering (2018). He has pursued his career at the University of Pavia (Italy), the University of Texas at Austin (USA), and the Health Research Institute of Santiago de Compostela. Since 2024, he has been a Ramón y Cajal researcher in the Numerical Methods in Engineering Group of the Department of Mathematics at UDC, where he leads a team in computational oncology. He is also an affiliated researcher at the Oden Institute for Computational Engineering and Sciences (UT Austin, USA), where he collaborates with Professors Thomas E. Yankeelov and Thomas J. R. Hughes. His work focuses on computational oncology and aims to understand how tumors grow and respond to treatment. To this end, Dr. Lorenzo develops mathematical models that represent the biological mechanisms of cancer and computational methods that, informed by each patient’s clinical data, allow for personalized predictions of tumor growth dynamics and therapeutic response, which can be used for medical decision-making. More recently, his research has incorporated approaches that combine mechanistic models with artificial intelligence, with applications such as biomarker design, risk classification, and the development of faster predictive methods. Although his research has focused primarily on prostate cancer, he has also worked on breast cancer and high-grade gliomas.