Curriculum Vitae
Machine learning researcher working on medical and spectral imaging. My research is on models that generalise beyond their training distribution: domain generalisation, physics-constrained synthetic data, and self-supervised pre-training for 3D imaging. Currently applying that work to spectral imaging as Founding Computer Vision Scientist at Prospectral.
Experience
- 2025 – presentFounding Computer Vision Scientist Prospectral, London
- Lead machine learning research and its integration into the wider product.
- Build production systems spanning spectral sensing, computer vision and model deployment.
- Own technical strategy for spectral imaging AI.
- 2024Computer Vision Researcher Tractive, London
- Led ML research at an a16z-backed pre-seed startup applying 3D generative AI to retopology.
- Trained transformers at scale with PyTorch and FSDP on Google Cloud.
- Wrote production backend code in C++ and Rust.
- 2021 – 2026PhD Researcher Wellcome Centre for Human Neuroimaging, University College London
- Built a physics-constrained synthetic data framework for stroke lesion segmentation that transfers to unseen clinical scanners and sequences.
- Designed convolutional attention architectures for 3D segmentation, presented at NeurIPS 2023.
- Developed sequence-invariant contrastive pre-training for 3D MRI encoders.
- Contributed to the ISLES'22 challenge ensemble published in Nature Communications.
- 2020 – 2021MRes Researcher University College London
- Built hypernetwork-based segmentation conditioned on imaging domain.
- Studied image-level false positives in segmentation, published at MICCAI 2021.
- 2018 – 2019Research Scientist, Intern Schlumberger Cambridge Research, Cambridge
- Characterised non-Newtonian drilling fluids by rheology and diffusing-wave spectroscopy.
Education
- 2021 – 2026PhD, Machine Learning University College London
- Thesis: Robust Deep Learning for Stroke Detection in Clinical Neuroimaging.
- Supervised by Prof. John Ashburner and Prof. Cathy J. Price FRS.
- 2020 – 2021MRes, Medical Imaging University College London · Distinction
- 2016 – 2020MSci, Chemical Physics University of Bristol · First Class Honours
Teaching and supervision
- 2023 – 2024Fellowship Project Supervisor Fatima Fellowship
- 2022 – 2026MSc Project and Research Supervisor University College London
- 2022 – 2024Tutor, Machine Learning and Data Science Cambridge Spark
- 2022Outreach Project Supervisor In2Research and University College London
- 2021Teaching Assistant and Guest Lecturer COMP0090 Introduction to Deep Learning, University College London
Grants
- HardwareNVIDIA Academic Hardware Grant Estimated value £5,000
- CloudGoogle Cloud research credits Estimated value $1,000
Technical
Languages Python, Rust, C++, MATLAB
Frameworks PyTorch, MONAI, SPM
Domains Medical image analysis, domain generalisation, synthetic data, self-supervised learning, generative modelling, spectral imaging