About
Abel Torres Espín is Assistant Professor in the School of Public Health Sciences at the University of Waterloo, applying data science and AI to complex health challenges.
Research conceptualizes health/disease as multi-domain systems, integrating biological, medical, and social data through machine learning. Focus areas include spinal cord injury, traumatic brain injury, dementia, and chronic pain populations. Technical expertise spans multivariate statistics, computational methods, and research reproducibility frameworks. Develops analytical pipelines for real-world evidence from digital health resources.
Education includes BSc (Biology, Universitat de Barcelona), PhD (Neuroscience, Universitat Autònoma de Barcelona), MSc (Bioinformatics, Universitat Oberta de Catalunya), and postdoctoral training at University of Alberta and UCSF. Teaching covers health informatics, biomedical programming, and machine learning for health applications.
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