Gabriela Czanner

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I am a statistician with broad interest of application and development of statistical methods for ophthalmology and vision science. I use tools from hierarchical modelling, mixed effect models, dimension reduction and multivariate modelling to address problems of disease prediction and classification using big data: imaging data, clinical data and longitudinally collected data. I am particularly interested in developments of statistical methods in the following areas:

Spatial statistical methods and imaging statistics

Classification of retinal disease stages using imaging data, multivariate modelling for spatial retinal images that contain pathological features, statistical feature selection and extraction from images. Collaborators: Prof Peter Diggle (U of Lancaster and UoL), Dr Yalin Zheng (UoL), Prof Simon Harding (UoL)

Longitudinal modelling and prediction

Feature selection algorithms for classification of disease from large complex datasets in ophthalmology and genetics. Collaborators: Dr. Marta Garcia-Finana (UoL) and Prof Simon Harding (UoL).

Statistical metrics for surrogate and predictive biomarkers

Information measures for evaluation of surrogate and predictive biomarkers. Collaborators: Prof Emery Brown (Harvard/MIT), Mr Ian MacCormick (UoL), Prof Brian Faragher (UoL), Prof Simon Harding (UoL)

 

 

My research have been funded by the following sources

EPSRC

 

MRC

University of Liverpool Centre for Mathematical Sciences in Healthcare https://news.liverpool.ac.uk/2015/12/16/57824/

Early prediction of diabetic retinopathy disease progression using longitudinal data and mixed effects models and discriminant analysis. Collaborators: Dr. Marta Garcia-Finana (PI, UoL), Dr Gabriela Czanner (Co-I), Dr Trevor Cox, Prof Simon Harding (UoL), Prof Tony Marson, Dr Laura Bonnett

Dunhill Medical Trust

Early detection in macular disease: A psychophysical screening test for neovascular age-related macular degeneration. Collaborators: Dr. Paul Knox (PI), Dr Gabriela Czanner (Co-I), Prof Heinrich Heimann, Prof Simon Harding

Wellcome Trust ViP Fellowship in Medical Science

Statistical modelling for neural spikes. Collaborators: Prof Emery Brown (Harvard/MIT)

Last updated: 27 September 2017