BSc in Biotechnology (UPM), MSc in Biophysics (UAM), and PhD in Applied Mathematics (UCLM). Currently holding a position as Assistant Professor of Applied Mathematics, his work at MOLAB focuses on evolutionary dynamics and virtual clinical trials in cancer. The discrete stochastic tumor growth model developed in his Ph.D. thesis (2022) has been used for human data-based studies on evolutionary dynamics, to discover new biomarkers in different cancers, and to optimize glioblastoma treatments.