Genomic & Clinical Data Analysis
Decision Support Systems for rare diseases.
Our lab is interested in the analysis of health care data to provide personalised care. We jointly analyse genetics, medical imaging and text data to develop decision support systems for diagnosis, prognosis and treatment. Our focus has mostly been on rare eye diseases but our methodology is widely applicable to rare genetic diseases.
Our lab currently works across the following organisations:
Research Projects
EyeCon
Decision support systems for keratoconus and other corneal ectasias.Phenopolis Genomic Browser
A genetic browser than integrates with the Human Phenotype Ontology.SynthEye
Creating Synthetic Retinal Image Augmentations using Generative Adversarial N...Hierarchical Tissue Segmentation
Using a hierarchical probabilistic framework to identify retinal tissue layersMedical Image Quality Metrics for Retinal Scans
Automatically assessing the quality of retinal scansKeraScreen
Detection of subclinical keratoconus from corneal imagingEyeNigma
Decoding binary files to extract medical imaging dataNote2Gene
Extracting genetic information from clinical notesOur Team

Nikolas Pontikos
Principal Investigator
Howard Maile
PhD Medical Imaging And AI
Anita Szabo
Bioinformatics Research Assistant
William Woof
Postdoc Medical Imaging and AI
Advaith Yoga Veturi
Honorary Research Assistant Medical Imaging and AI
Quang Nguyen
MRes/PhD student
Dr Olivia Li
Honorary Clinical Research Fellow
Tianyi Liao
Honorary Research Assistant, Genetics of Human Disease
Nathaniel Kabiri
Honorary Research Assistant, Biochemistry
Yichen Liu
AI Research AssistantWe are always eager for hard-working & motivated people to come and work with us.
If you're interested in joining us, please send Nikolas Pontikos a quick email with a CV and personal statement