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Dr Delmiro Fernandez-Reyes
410
Dept. Computer Science
66-72 Gower Street
London
WC1E 6EA
Appointment
  • Reader
  • Dept of Computer Science
  • Faculty of Engineering Science
Biography

After clinical training and a life-sciences doctorate on molecular medicine, I focused on harnessing the computational sciences to further biomedical research on Low-to-Middle Income Countries (LMICs) global challenges.

Education / Qualifications: 
•      2003: M.Sc. (distinction) Computer Science. Department of Computer Science, University College London, London, United Kingdom. 
•      1999:  Doctor  of  Philosophy  (D.Phil.),  Molecular  Medicine.  Weatherall  Institute  of  Molecular Medicine, University of Oxford, Oxford, United Kingdom. 
•      1993: Medical Doctor (MD), Clinical Medicine. Luis Razetti School of Medicine, Universidad Central de Venezuela, Caracas, Venezuela. 
Professional History 
•      2016-to date: Reader in Computer Science. Department of Computer Science, University College London, UK. 
•      2015–2016: Principal Research Fellow. Department of Computer Science, University College London, UK. 
•      2013-to date: Adjunct Reader in Paediatrics. Department of Paediatrics, College of Medicine of University of Ibadan, University College Hospital, Ibadan, Nigeria. 
•      2010–2012: Adjunct Senior Lecturer in Paediatrics. Department of Paediatrics, College of Medicine of University of Ibadan, University College Hospital, Ibadan, Nigeria. 
• 2007-to date: Founder and UK Director of the Childhood Malaria Research Group. Department of Paediatrics, College of Medicine of University of Ibadan, University College Hospital, Ibadan, Nigeria. 
•      2007–2014: Honorary Senior Lecturer in Computer Science. Department of Computer Science, University College London, UK. 
•      2007–2015:  Principal  Investigator.  Medical  Research  Council,  Department  of  Parasitology, National Institute for Medical Research, London, UK. 
•      2006–2007: Senior Investigator Scientist. Medical Research Council, Department of Parasitology, National Institute for Medical Research, London, UK. 
•      2003–2006: Honorary Lecturer in Computer Science. Department of Computer Science, University College London, UK. 
• 2001–2005:  Medical  Research  Council  Fellow  in  Computational  Medicine.  Department  of Mathematical Biology and Department of Parasitology, National Institute for Medical Research, London, UK. 
•      1999–2001:   Medical   Research   Council   Career   Development   Fellowship.   Department   of Mathematical Biology, National Institute for Medical Research, London, UK. 
•      1992–1994: Research Associate. Immuno-Chemistry, Felix Pifano Institute of Tropical Medicine, Luis Razetti School of Medicine, Universidad Central de Venezuela, Caracas, Venezuela. 
•      1992–1993: Clinical Internship. Jose Maria Vargas Hospital, Luis Razetti School of Medicine, Universidad Central de Venezuela, Caracas, Venezuela.

Research Summary

Delmiro Fernandez-Reyes is Reader in Digital Health and Intelligent Systems at the Department of Computer Science, Faculty of Engineering University College London, UK. He is also Adjunct Reader in Paediatrics at the College of Medicine of the University of Ibadan (COMUI) Nigeria. His interdisciplinary expertise in the clinical-, life-, and computer-sciences has translated into a tight interaction of computational approaches with the hypothesis-forming steps, clinical study design and novel data-generation. His research harness computational research to unravel complex disease associations and studies providing real-World prospective validation which in turn informs algorithm and system development. His contributions to knowledge and ongoing research can be summarised across the following research themes: 1- data-science to tackle severe childhood malaria; 2- data-science to tackle tuberculosis diagnosis; 3- machine-learning for biomedical research and clinical decision-support; 4- AI-driven microscopy for digital pathology and; 5- solutions to global challenges through engineering and digital technology research.He has pioneered the use of machine learning approaches on plasma proteomics to understand the complex spectrum of disease of childhood severe malaria. His team has discovered and validated protein and genetic biomarkers of severe malaria that currently underpin his research and development of scalable computational clinical decision-support systems for the sub-Saharan region for improving childhood global health in low-to-middle income sub-Saharan West Africa.Currently his focus on creating innovative and scalable solutions to global challenges of LMICs through engineering and digital technology research have been further consolidated by receiving over £3 millions of funding from the prestigious EPSRC-GCRF Awards to carry-out two large multi-group multi-site research projects: 1- Fast Accurate and Scalable Diagnosis of Malaria using Robotic Microscopy and Artificial Intelligence (FAST-Mal) (PI) for the research, development and deployment of an AI-driven robotic malaria diagnosis platform in sub-Saharan West Africa and; 2- AI-driven Image Quality Transfer improvement of sub-Tesla MRI resolution for clinical decision support of intractable childhood epilepsy (IQT-Epilepsy) in sub-Saharan West Africa (Co-PI).

Teaching Summary

New Taught Programmes at UCL Department of Computer Science that intersect  my  research expertise  in  the  clinical, biomedical  and  computational  sciences. These programmes introduce innovative changes to the curriculum to overcome the significant shortage of professionals at the intersection of these disciplines. This new breed of professionals will be able to understand and utilise newly developed state-of-the-art computational techniques within the context of  the  biomedical and  healthcare domains.  Moreover,  they  will  be  able  to  identify  real-World computational challenges with potential to bring broad impact across scientific fields.

Currently, I am the Computer Science Co-Director of the Intercalated BSc in Mathematics, Computers and Medicine: A programme in close partnership with the UCL Faculty of Medicine Infection & Immunity Dept. The programme takes  UCL  third-year  medical  students  through  a computational curriculum in programming, mathematical modelling and machine learning with a strong emphasis on larger (1.5 Units) projects at the intersection of these disciplines (First cohort of 15 students has already started 2018-2019). 

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