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., 2020, An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning., Sensors (basel), Vol:20
et al., 2020, Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes, Journal of Healthcare Informatics Research, Vol:4, Pages:308-324
et al., 2020, Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation., Ieee J Biomed Health Inform, Vol:PP
et al., 2020, Predicting quality of overnight glycaemic control in type 1 diabetes using binary classifiers, Ieee Journal of Biomedical and Health Informatics, Vol:24, ISSN:2168-2194, Pages:1439-1446
et al., 2020, A real-world evaluation of a Case-Based Reasoning algorithm to support antimicrobial prescribing decisions in acute care, Clinical Infectious Diseases, ISSN:1058-4838