George Batchkala
CDT Student
I was born and raised in Russia, where I finished high school and did the A-levels I needed to study in the UK. During both my Bachelors at the University of Warwick and Masters at the University of Oxford, I majored in Statistics. Now I am excited to take a step away from theory and dive into the applications of Statistics and Machine Learning for Healthcare. I am interested in developing Machine Learning methods for Imaging. At the end of my first year of the CDT, I will join Professor F. Gleeson's group for the DPhil stage. This will continue my attempts to use computational methods to improve Healthcare. At Warwick, I worked on identifying nerve structures on MRI scans. For my MSc Dissertation, I explored and compared different ways of uncertainty estimation while predicting the properties of potential drug compounds.
Recent publications
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Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
Jha D. et al, (2025), Medical image analysis, 99
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Evaluating Histopathology Foundation Models for Few-shot Tissue Clustering: an Application to LC25000 Augmented Dataset Cleaning
Batchkala G. et al, (2024)
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38 Modelling Class Dependencies for Lung Cancer Subtyping from Digitised Pathology Images
Batchkala G. et al, (2024)
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Accurate Subtyping of Lung Cancers by Modelling Class Dependencies
Batchkala G. et al, (2024)
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Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models.
Liao W. et al, (2023), The Lancet. Respiratory medicine, 11, 685 - 697