Oct, 2025 Organisation: Our special session on New Developments in Open-Source Software for Inverse Problems has been accepted for the 15th AIMS Conference in Athens, Greece. In collaboration with Ander Biguri.
Aug, 2025 New Paper: Battery Imaging Library: Multi-length scale and multi-modal synchrotron and laboratory battery imaging data for all. The Battery Imaging Library (BIL) is the first open, curated collection of multi-modal and multi-length scale battery imaging datasets. For more details see our website.
Aug, 2025 New Paper: nDTomo: a modular Python toolkit for X-ray chemical imaging and tomography was accepted at the Royal Society of Chemistry. This work was in collaboration with Antonis Vamvakeros, Hongyang Dong, Ronan Docherty, Andrew Beale, Sam Cooper, Simon Jacques.
Apr, 2025 New Paper: BeamStop: A software for analysing chemical imaging and tomography data .
Dec, 2024 Invited Talk: I gave at talk at the CCPi Show & Tell about “Primal-Dual three operator splitting algorithm in (Stochastic) CIL”.
Nov, 2024 Poster: Why do we regularise in every iteration for imaging inverse problems? , accepted as a poster at the CIL User Meeting, November 2024. Poster
Nov, 2024 New Paper: Why do we regularise in every iteration for imaging inverse problems? in collaboration with Zeljko Kereta and Kostas Papafitsoros.
May, 2024 Accepted Paper: Why do we regularise in every iteration for imaging inverse problems? accepted as an invited talk at the Scale Space and Variational Methods in Computer Vision 10th International Conference, SSVM 2025, Dartington, UK, May 18–22, 2025. Code.
May, 2024 Organisation: I co-organised two minisymposia and gave a talk at SIAM Conference on Imaging Science (IS24), Atlanta US: - Open Source Software Solutions for Imaging Inverse Problems in collaboration with Zeljko Kereta. - Deep Unrolled Optimisation Methods for Inverse Imaging Problems in collaboration with Kostas Papafitsoros and Andreas Kofler. - “CIL - A Versatile Python Framework for Tomographic Imaging”. Slides
May, 2024 Invited Talk: I gave at talk at the PSMR2024 10th Conference on PET, SPECT, and MR Multimodal Technologies, Total Body and Fast Timing in Medical Imaging, La Biodola, Isola d’Elba, Italy about “Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction”. Slides
Nov, 2023 Paper: A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL) was accepted in the Applied Mathematics for Modern Challenges (AMMC).
Nov, 2023 Invited Talk: I gave at talk at the first CIL User Meeting about “Stochastic Optimisation in CIL”. Slides
Aug, 2023 Paper: Learning regularization parameter-maps for variational image reconstruction using deep neural networks and algorithm unrolling was accepted in the SIAM Journal on Imaging Sciences.
Jul, 2023 Our work on Unrolled three-operator splitting for parameter-map learning in Low Dose X-ray CT reconstruction was accepted as a Poster presentation at the 17th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.
Apr, 2023 Finden training course
Apr, 2023 Invited as a research visitor at the INI program on Rich and non-linear tomography in medical imaging, materials and non destructive testing, University of Cambridge, March 19 - April 03, 2023.
Mar, 2023 CIL Cambridge Hackathon
Jan, 2023 New paper: Learning Regularization Parameter-Maps for Variational Image Reconstruction using Deep Neural Networks and Algorithm Unrolling. Amazing collaboration with with Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba, Christoph Kolbitsch, David Schote, Clemens Sirotenko, Felix Frederik Zimmermann and Kostas Papafitsoros.
Jan, 2023 Funding: Finden was awarded the Analysis for Innovators (A4I) grant in collaboration with the National Physical Laboratory for the industrial project Denoising of chemical imaging and tomography data. I will act as a Co-Investigator and work on stochastic and plug and play optimisation.
Nov, 2022 CIL came 3rd :trophy: at the Helsinki Tomography Challenge, organised by the Finnish Inverse Problems Society.
Oct, 2022 Invited as a research visitor at the INI program on Rich and non-linear tomography, University of Cambridge, January 04 - June 20, 2023.
Oct, 2022 Really excited to start a new job as a Senior Research Scientist at Finden Ltd.
Aug, 2022 I was awarded the UKRI In Year Award - Individual Award :trophy:, for contributions in CIL and CCPi.
Apr, 2022 CIL was presented at the PyConDE & PyData Berlin. Dr. Jakob Sauer Jørgensen gave the on my behald due to family emergency.
Mar, 2022 Invited to the Math+ hackathon on image reconstruction, segmentation and shape analysis at the Berlin Mathematics Research Center. I worked on the P1-Temp-Reg project for 2D cardiac CINE imaging.
Feb, 2022 Really excited that my abstract on Easy and flexible imaging with the Core Imaging Library was accepted as a talk at the PyConDE & PyData Berlin. Acceptance rate 24%.
Dec, 2021 Organise 1-day training school for (CIL), see here for more information.
Nov, 2021 Co-organise with PET++ and CCP-Synerbi a hackathon on stochastic algorithms for tomography reconstruction using the Core Imaging Library. More details here.
Sep, 2021 Organise training workshop for CIL in TOSCA.
Aug, 2021 CIL Front Cover
Jun, 2021 Co-organise with CCP-Synerbi, 3 weeks online training course prior to the Fully3D conference, for image reconstruction, optimisation and regularisation using CIL and the Synergistic Image Reconstruction Framework (SIRF). For more information, see here. Training videos are online .
May, 2021 Attended the fist Dask Distributed Summit. Dask is a very poweful open-source Python library for parallel computing in Python. Keynote Talks: Workshops:
Oct, 2020 Really excited to start a new job as Computational Imaging Scientist (permanent) at the Scientific Computing Department.
Mar, 2020 Selected to present the poster The CCPi Core Imaging Library –Versatile software for Tomographic Imaging at the House of Commons for the STEM for Britain Exhibition for Mathematical Sciences .
Mar, 2020 I got the 3rd place :trophy: for the Computational Science Centre for Research Communities Impact Award.
Jan, 2020 Collaborative Computational Project in Tomographic Imaging was renewed until April 2025.
Dec, 2019 Hackathon: Core Imaging Library, 16-18 December 2019.
Nov, 2019 Co-organise CIL Training cource in Chester for the Synergistic Reconstruction Symposium. Training material can be found here.
Sep, 2019 Runner-up poster prize award Multi-Channel tomographic reconstruction using the Core Imaging Library at the Tomography for Scientific Advancement (TOSCA) conference.