معرفی
Mauricio Barahona is a Professor of Biomathematics and Director of the EPSRC Centre for Mathematics of Precision Healthcare at Imperial College London. He holds appointments in the Department of Mathematics within the Faculty of Natural Sciences. His research integrates dynamical systems, network science, and machine learning to address challenges in healthcare, biological systems, and complex networks. He obtained his PhD in Theoretical Physics from MIT, followed by postdoctoral fellowships at Stanford and Caltech.
Key roles include leading the EPSRC Centre since 2016 and contributing to interdisciplinary initiatives such as the Biomathematics Group and the Artificial Intelligence Network. His work spans disease clustering analysis, healthcare system optimization, and applications of AI in precision medicine. He has pioneered methods for analyzing complex networks in biological and clinical contexts, including protein dynamics, antimicrobial resistance spread, and multimorbidity patterns.
Research focuses on network-based models for healthcare integration, disease co-occurrence patterns, and machine learning techniques for biomedical data. His lab develops tools like RamanSPy for spectroscopic analysis and HCGA for network phenotyping. Collaborations involve diverse fields from physics to clinical medicine, emphasizing translational applications.
