- Final year PhD candidate at Univ. of Cambridge focusing on Machine Unlearning, Out of Distribution Data, and applications of Graph Learning.
- Enrichment Student at The Alan Turing Institute
- Secondee Data Scientist at UK Government
Full CV: 
| Title | Authorship | Venue |
|---|---|---|
| Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening | First | AAAI 2024 |
| An Information Theoretic Approach to Machine Unlearning | First | Preprint |
| Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization | First | Preprint |
| Aiding food security and sustainability efforts through graph neural network-based consumer food ingredient detection and substitution | First | Scientific Reports |
| Identifying contributors to manufacturing outcomes in a multi-echelon setting: a decentralised uncertainty quantification approach | Second | ECML PKDD 2023 Workshop |
| Parameter-Tuning-Free Data Entry Error Unlearning with Adaptive Selective Synaptic Dampening | Second | Preprint |
Full Google Scholar publication list: Google Scholar
Our entry in ICRA 2023 robot kitchen competition