Abel Torres Espin

Research interests

My broad work is in the application of data science methods to health research. I am interested in conceptualizing health and disease as a complex multi-domain (e.g., biological, medical, psychological, social, technological), multi-level (e.g., molecular, individual, and population) and dynamic process. I focus on applying health data science, artificial intelligence (AI) and machine learning solutions, integrating diverse data resources to answer health-related questions and inform practice.

With increasing health and health-care challenges, the growing availability of digital health data provides unprecedented opportunities to study this complexity and inform precise evidence-based practice and policies.

My research has focused on the health context of complex heterogeneous populations such as spinal cord injury, traumatic brain injury, dementia and chronic low back pain, resulting in tremendous individual and societal costs. I am also interested in analytical and computational methods, multivariate statistics, the reproducibility and replicability of research and real-world evidence.

Graduate supervision and student opportunities

I am not accepting applications from graduate students at this time.

Teaching interests

• Health informatics
• Machine learning and AI for health
• Computer programming for health and biomedicine

Education

BSc Biology, Universitat de Barcelona, Spain

PhD Neuroscience, Universitat Autònoma de Barcelona, Spain

MSc Bioinformatics and Biostatistics, Universitat Oberta de Catalunya, Spain

Postdoctoral Fellowship, Rehabilitation Science, University of Alberta, Canada

Postdoctoral Fellowship, Health and biomedical data science, University of California San Francisco, USA