Bernard Hernandez

Imperial College London

prof_pic_bahp.jpeg

B420 Bessemer building,

South Kensington,

SW7 2AZ, London, UK

Bernard Hernandez received his BSc degree in Telecommunications (5 years) and Computer Science (3 years) from the Rey Juan Carlos University (URJC) in 2013. Simultaneously, he received his MSc degree in Machine Learning (2 years) from the Royal Institute of Technology (KTH). He then moved to Imperial College London (ICL) where he worked as a Research Assistant in the Centre for Bio-Inspired Technology, obtaining his PhD degree in 2019.

His research interests include the development of point-of-care decision support systems that leverage the existing data and resources to provide personalized, accurate and effective diagnostics focusing on detection of infectious diseases and antimicrobial resistance surveillance in low- and middle-income countries.

selected publications

  1. Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness
    Bernard Hernandez, Oliver Stiff, Damien K. Ming, and 16 more authors
    Frontiers in Digital Health Feb 2023
  2. Resistance Trend Estimation Using Regression Analysis to Enhance Antimicrobial Surveillance: A Multi-Centre Study in London 2009–2016
    Bernard Hernandez, Pau Herrero-Viñas, Timothy M Rawson, and 3 more authors
    Antibiotics Oct 2021
  3. Supervised learning for infection risk inference using pathology data
    Bernard Hernandez, Pau Herrero, Timothy Miles Rawson, and 5 more authors
    BMC medical informatics and decision making Dec 2017
  4. HEALTHINF
    Data-driven Web-based Intelligent Decision Support System for Infection Management at Point-Of-Care: Case-Based Reasoning Benefits and Limitations.
    Bernard Hernandez, Pau Herrero, Timothy M Rawson, and 4 more authors
    In International Conference on Health Informatics Jun 2017