Pau Herrero Viñas received the M.Eng. degree in Industrial Engineering in 2001 from University of Girona(Catalonia-Spain) and the Ph.D. degree in 2006 from University of Angers (France) and University of Girona.
After receiving his PhD, Pau moved to Doyle’s Group at the Chemical Engineering Department of University of California Santa Barbara (USA), where he spent one year as a postdoctoral research fellow working on an artificial pancreas project in collaboration with Sansum Diabetes Research Institute (USA).
He then spent the following two years at Hospital de Sant Pau (Catalonia–Spain) working as research fellow for the Biomedical Research Networking center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN) leading different eHealth projects for the prevention of type 2 diabetes and management of type 1 diabetes.
Pau is currently a research fellow within the Centre for Bio-Inspired Technology at the Department of Electrical & Electronic Engineering.
His main research interest lies in the field of diabetes technology and antimicrobial resistance (AMR). In field of diabetes management, he is involved in the development of a Bio-inspired Artificial Pancreas. Another ongoing research he is involved in is on the development of an intelligent decision support system for type 1 diabetes management based on Case-Based Reasoning (CBR) artificial intelligence technology.
His research in the field of AMR consists of developing of a point-of-care decision support system to optimize antimicrobial therapy in intensive and secondary care. This system consists of a mobile app that automatically pulls patient data from hospital servers and uses machine learning techniques to help clinicians to make the right choices for antibiotic therapy from the beginning of the treatment. Such technology is currently being tested at the Imperial College Healthcare NHS Trust.
et al., 2018, Convolutional Recurrent Neural Networks for Blood Glucose Prediction., Corr, Vol:abs/1807.03043
et al., 2018, Delivering precision antimicrobial therapy through closed-loop control systems, Journal of Antimicrobial Chemotherapy, Vol:73, ISSN:0305-7453, Pages:835-843
et al., 2018, Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring, Sensors, Vol:18, ISSN:1424-8220
et al., 2018, Automatic Adaptation of Basal Insulin Using Sensor-Augmented Pump Therapy., J Diabetes Sci Technol, Vol:12, Pages:282-294
et al., 2018, Enhancing antimicrobial surveillance: an automated, dynamic and interactive approach, ELSEVIER SCI LTD, Pages:122-122, ISSN:1201-9712