AI Scientist | PhD Candidate, University of Oxford
Welcome to my personal GitHub space. I work on machine learning for medical imaging, with a special focus on cardiovascular medicine and radiotranscriptomic biomarkers.
I am a PhD candidate at the University of Oxford, Division of Cardiovascular Medicine (Radcliffe Department of Medicine).
My research is funded by an industrial fellowship with Caristo Diagnostics, where I develop AI-driven tools to improve early diagnosis and risk prediction in cardiovascular disease.
Previously, I completed an MSc in Computer Vision at MBZUAI (Mohamed bin Zayed University of AI) and a BSc in Business Information Systems at the University of Westminster, Tashkent campus.
- Medical image analysis
- Cardiovascular AI
- Deep learning for healthcare
- Radiotranscriptomic biomarkers
- Multimodal learning (imaging + omics)
- Explainable AI in clinical settings
- Head and neck tumour segmentation and prognosis using deep learning
- Predictive modelling for clinical outcomes
- Multimodal imaging + transcriptomic biomarkers for inflammatory disease assessment
For a complete list:
➡️ Google Scholar
- PhD Candidate, Radcliffe Department of Medicine & Somerville College, University of Oxford
- Industrial Research Fellow, Caristo Diagnostics
- Alumni, MBZUAI (MSc Computer Vision)
- Alumni, University of Westminster (BSc Business Information Systems)
This repository and others in my profile may include:
- Research code and experiments
- Machine learning models for medical imaging
- Implementations of multimodal learning pipelines
- Tutorials, notebooks, and reproducible benchmarks
If you find any of the helpful work, please feel free to start the repo or open an issue.