Artificial intelligence hub Meet the team.

Team

Dr Pearse Keane
Artificial Intelligence Lead

Role:

  • NIHR Clinician Scientist, University College London (UCL), Institute of Ophthalmology
  • Honorary Consultant Ophthalmologist, Moorfields Eye Hospital NHS Foundation Trust

Pearse leads a programme of applied clinical research in artificial intelligence (AI) at Moorfields Eye Hospital and UCL Institute of Ophthalmology. As part of this, he initiated the long-term collaboration between Moorfields NHS Foundation Trust and DeepMind. He works closely with the Moorfields Image Reading Centre on this and a number of other independent research projects.

Summary:

Dr Keane specialises in applied clinical and translational research, with a particular interest in the application of new technologies to health care. In April 2015, he was ranked no. 4 on a worldwide ranking of ophthalmologists under 40, published in “the Ophthalmologist” journal. In 2016, he initiated a formal collaboration between Moorfields Eye Hospital and Google DeepMind, with the aim of applying machine learning to automated diagnosis of optical coherence tomography (OCT) images.

Team

Dr Giovanni Ometto
Senior Computer Scientist (visiting)

Qualifications:

  • 2014-2016: PhD Clinical Medicine, Aarhus University
  • 2008-2012: MSci Biomedical Engineering, University of Padova

Professional Experience:

  • 2016-now: Postdoctoral Research Fellow, City University of London
  • 2013-2014: Image Analyst, Optometric Technology Group Ltd

Projects:

Expertise:

  • Computational Ophthalmic Image Analysis
  • Optical Character Recognition
  • Image Segmentation
Team

Dr Gabriela Morales
Research Fellow

Qualifications:

  • 2017-ongoing: MSc Clinical Ophthalmology, University College of London, London, UK
  • 2008-2013: Primary medical qualification, University Estacio de Sa, Rio de Janeiro, Brazil

Professional Experience:

  • 2014-2017: Specialty training in Ophthalmology, Benjamin Constant Institute, Rio de Janeiro, Brazil

Projects:

  • Creation of a Moorfields database for patients with neovascular age related macular degeneration receiving intravitreal injections
  • Moorfields AI Pipeline

Expertise:

  • Big data applications in ophthalmology
Team

Dr Josef Huemer
Research Fellow

Qualifications:

  • 2018: Honorary clinical and research fellow Moorfields Eye Hospital
  • 2018: Fellow of the European Board of Ophthalmology FEBO
  • 2017-2018: Ophthalmology Consultant, Lead of Medical Retina, General Public Hospital Zell am See
  • 2017: Ophthalmology Specialist Diploma, Austrian Medical Chamber
  • 2016-2017: Medical Retina Fellowship, Torbay and South Devon NHS Foundation Healthcare Trust
  • 2012-2016: Ophthalmology Resident, General Public Hospital Zell am See
  • 2010-2012: General Medicine Training, General Public Hospital Zell am See
  • 2012: General Medicine Diploma, Austrian Medical Chamber
  • 2009-2010: Ophthalmology Resident, General Public Hospital Zell am See
  • 2008-2009: General Medicine Training, General Public Hospital Zell am See
Team

Dr Katrin Fasler
Clinical Research Fellow (visiting)

Qualifications:

  • 2004-2010: study of medicine, University of Zurich, Switzerland (Primary medical qualification)

Professional Experience:

  • 2011-2015: Speciality training in Ophthalmology (Department of Ophthlamology, State Hospital, Lucerne, Department of Ophthalmology, University Hospital Zurich, Switzerland)
  • May 2015: Specialist Examination Ophthalmology EBO, Paris
  • 2016-now: Consultant, Department of Ophthalmology, University Hospital Zurich, Switzerland

Projects:

  • Creation of a database for all Moorfields patients with age-related macular degeneration
  • Collaboration with Google Deepmind for AI applications in OCT image analysis

Expertise:

  • Electronic health records studies
  • Clinical Medical Retina
Team

Dr Siegfried Wagner
NIHR Academic Clinical Fellow, Specialty Registrar in Ophthalmology

Role:

  • National Institute for Health Research Academic Clinical Fellow
  • Honorary Clinical Research Fellow, Moorfields Eye Hospital
  • Specialty Registrar in Ophthalmology, Imperial College Healthcare NHS Trust

Qualifications:

  • 2009: BA (hons), University of Oxford
  • 2012: BM BCh, University of Oxford
  • 2017: FRCOphth, Royal College of Ophthalmologists

Projects:

  • Data linkage: Retinal Imaging and Neurodegenerative Disease (AlzEye)
  • Outcomes and Insights from Age-Related Macular Degeneration Analytics
  • Automated Machine Learning in Ophthalmology

Expertise:

  • Clinical Trials
  • Data Linkage
  • Big Data Analytics
  • Retinal Imaging
Team

Dr Dun Jack Fu
Honorary Research Fellow

Qualifications:

  • 2014-2018: BM BCh Graduate Medicine, Oxford
  • 2010-2014: PhD Mouse models for gene therapy, Dundee university
  • 2007-2010: BSc(Hons) Molecular medicine, Sussex university

Projects:

  • Large dataset analysis in AMD and DMO patients
  • Moorfields AI pipeline
  • Application of generative adversarial networks in retinal imaging

Expertise:

  • Molecular biology
  • Gene therapy
  • Genetics
  • Large data analysis
Team

Dr Xiaoxuan Liu
Clinical Research Fellow (visiting)

Qualifications:

  • 2010-2015: MBChB Graduate Medicine, University of Birmingham.

Professional experience:

  • 2015-2017: Foundation Clinical Doctor, Birmingham, UK
  • 2017-now: Doctoral Research Fellow in Ophthalmology, University of Birmingham

Projects:

  • Diagnostic Accuracy of Deep Learning in Medical Imaging
  • EQUATOR Vision: Objective Imaging-based Biomarkers of Inflammatory Eye Disease (https://www.equator.vision/)
  • CONSORT/SPIRIT-AI: reporting guidelines for Transparent and Reproducible AI Clinical Trials
  • Automated Machine Learning

Expertise:

  • Diagnostic Test Evaluation
  • Systematic Review and Evidence Synthesis
Team

Dr Livia Faes
Clinical Research Fellow (visiting)

Qualifications:

  • 2014–2017: Human Medicine, MMed, University of Zurich, Switzerland
  • 2011–2014: Human Medicine, BMed, University of Zurich, Switzerland
  • 2006–2011: Psychology, MSc, University of Zurich, Switzerland

Projects:

  • Moorfields Eye Hospital, AI pipeline
  • Automated machine learning
  • Systematic review on deep leaning applications in healthcare

Expertise:

  • Systematic reviews and meta-analyses.

Awards:

  • 2011 Career development award for outstanding young persons, medignition Inc., Zurich, Switzerland.