- ML PhD with experience in eXplainable AI with theory and application
- Extensive use of Python, PyTorch with various ML technologies including ViTs, VLMs, LLMs and explainability
- Multiple first author ML award winning and nominated publications in national and international venues
- Experience leading and collaborating on team-based research projects with interdisciplinary teams
- Awarded EPSRC Funded PhD
- Postdoctoral Researcher at the University of Oxford, Noble Group at the Institute of Biomedical Engineering
- Working on Human-AI Collaboration systems in medical Imaging
| Title | Venue | Notes |
|---|---|---|
| Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment | KDIR23 | Best Conference Paper |
| Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation | Neural Computing and Applications | |
| An Automated Precision Spraying Evaluation System | TAROS | Nominated Best Application Paper |