Antonis (Antony) Vamvakeros

Royal Society Industry Fellow at the Dyson School of Design Engineering at Imperial College London and R&D Lead Scientist of Finden Ltd

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I am a research engineer and applied scientist developing machine learning methods for scientific data.

I am the creator and lead developer of nDTomo, an open-source platform for chemical imaging and tomography, and of the Battery Imaging Library (BIL), the first open-access, multi-modal and multi-length scale imaging resource for battery research.

My work focuses on physics-informed learning, GAN and flow-matching generative models for multimodal experimental data, and the development of deployable research software used in industry and academia. I work primarily with experimental data from imaging and diffraction/spectroscopic techniques, designing methods that prioritise physical consistency, robustness, and practical utility.

I have led and delivered multiple research programmes funded by UKRI as technical lead and co-PI, translating research projects into working methods and software used in experimental workflows.

Battery Imaging Library (BIL)

Trailer for BIL showing some of the various imaging modality datasets present in the library.