Research: My research focuses on developing deep learning approaches to improve image quality in practical scenarios where very little training data is available.
November 2021: Our article Tomosipo: Fast, flexible, and convenient 3D tomography for complex scanning geometries in Python has been published in Optics Express.
July 2021: I was invited to give a talk in the webinar on AI applied to X-ray and synchrotron techniques organized by the ESRF. The recording can be found on YouTube.
June 2021: Our article Deep Denoising for Multi-Dimensional Synchrotron X-Ray Tomography Without High-Quality Reference Data has been published in Scientific Reports.
August 2020: I won the best poster prize at the Mathematics of Machine Learning symposium of the London Mathematical Society and the University of Bath. Poster title: Noise2Inverse: Deep tomographic denoising without high-quality target data. (More)