Pau Herrero-Viñas holds a Ph.D. degree on Automation Technologies by University of Angers (France) and University of Girona (Spain).
After receiving his Ph.D., Pau did a postdoctoral stay at the University of California Santa Barbara (USA) working on diabetes technology projects. He then spent two years at the Autonomous University of Barcelona/Hospital de Sant Pau (Spain) leading different eHealth projects related to the prevention of metabolic diseases.
He is currently a Research Fellow within the Department of Electrical & Electronic Engineering at Imperial College London. His main research interest lies in developing biomedical control systems and intelligent clinical decision support systems for diabetes and infectious diseases management.
et al., 2019, Modeling the effect of the cephalic phase of insulin secretion on glucose metabolism, Medical & Biological Engineering & Computing, Vol:57, ISSN:0140-0118, Pages:1173-1186
et al., 2019, A Modular Safety System for an Insulin Dose Recommender: A Feasibility Study., J Diabetes Sci Technol
et al., 2019, Convolutional recurrent neural networks for glucose prediction, Ieee Journal of Biomedical and Health Informatics, ISSN:2168-2194
et al., 2019, Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study, Journal of Antimicrobial Chemotherapy, Vol:74, ISSN:0305-7453, Pages:1108-1115
et al., 2019, FEASIBILITY OF SAFETY SYSTEM WITHIN A NOVEL PERSONALISED DECISION SUPPORT TOOL FOR INSULIN DOSING, MARY ANN LIEBERT, INC, Pages:A16-A16, ISSN:1520-9156