Paulo Lisboa is a Professor in Applied Mathematics at Liverpool John Moores University, where he conducts interdisciplinary research at the intersection of computational modeling, machine learning, and biomedical applications. His work spans healthcare technology, sports biomechanics, and genomic data analysis. His research focuses on developing advanced computational methods for real-world health challenges. Key areas include explainable AI for clinical classifiers, deep learning for perinatal monitoring, and modeling complex biological interactions in genomics. He also investigates biomechanical loading during physical activity using sensor-based and simulation techniques. The recent publication trends highlight consistent contributions in artificial intelligence applied to medicine and biology, particularly in making black-box models interpretable, predicting preterm birth through genetic interactions, and analyzing human movement dynamics. These works are published in high-impact journals across computational biology, biomedical engineering, and sports science. Paulo Lisboa actively collaborates with researchers in physiology, sports science, and clinical domains. His peer review activities for journals like Communications Medicine and PLOS ONE reflect his engagement with the broader scientific community. While no formal awards or student supervision details are listed, his extensive publication record demonstrates sustained scholarly impact in applied mathematics and translational computational research.
