Researcher & engineer — quantum computing · machine learning · computer vision · robotics
Researcher at the University of Leeds. I build practical AI and quantum systems — from self‑supervised vision for medical imaging and vision‑language‑action policies for robotics, to quantum‑classical algorithms for scientific problems. Open‑source enthusiast • Qiskit Advocate.
Graduate student in Computer Science & AI at the University of Leeds, with research interests at the intersection of quantum computing, and machine learning. I also work on computer vision since I envision a world with intelligent robotics and autonomous systems. Currently working on practical applications of quantum algorithms and self-supervised learning methods for real-world problems. Proud Qiskit Advocate contributing to the quantum open-source community.
| Project | Description |
|---|---|
| ISBI 2026 Paper | Self-supervised Transformers for surgical phase recognition |
| Bradford Quantum Hackathon 2025 (Winner) | Quantum-classical hybrid system for genomic sequence prediction |
| Gemma-GR00T Vision-Language-Action | Compact VLA policy for robotic manipulation with SigLIP + Gemma 3 + ScaleDP |
| City of London Mayor Quantum Hackathon (Finalist) | IBM quantum computing applications |
| Vision Research Intern @ Leeds | Self-supervised learning for medical imaging and robotics |
🔬 Vision Research Intern @ University of Leeds
- Self-supervised learning in computer vision for medical imaging applications
- Vision-language models and perception systems for robotics
- 3D reconstruction using Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting
🎯 Research Interests:
- Quantum algorithms and error correction
- Quantum-hardware co-design with error correction stack
- Machine learning for solving problems in sciences
- Computer vision applications in healthcare and robotics
- Physics-informed neural networks
👉Always happy to connect if you have some interesting ideas and OFC OPEN SOURCE FTW!!