Sep 23, 2026 So proud of the PhD students I supervise for presenting their work on physics-based machine learning for flow-MRI at 5๐ต๐ฉ ๐๐๐ ๐๐ฐ๐ฏ๐ง๐ฆ๐ณ๐ฆ๐ฏ๐ค๐ฆ ๐ฐ๐ฏ ๐๐ฏ๐ท๐ฆ๐ณ๐ด๐ฆ ๐๐ณ๐ฐ๐ฃ๐ญ๐ฆ๐ฎ๐ด ๐ง๐ณ๐ฐ๐ฎ ๐๐ฉ๐ฆ๐ฐ๐ณ๐บ ๐ต๐ฐ ๐๐ฑ๐ฑ๐ญ๐ช๐ค๐ข๐ต๐ช๐ฐ๐ฏ! ๐ Congratulations to Claire Namuroy on winning 1st place, Thomas Cheetham on 3rd place, and Davit Gyulamiryan for a brilliant poster too. Hard work well recognised! ๐. May 18, 2026 Great to be at ISMRM 2026 in Cape Town! ๐ฟ๐ฆ Really enjoyed the discussions, meeting new people, and learning from the community. Also very valuable to get feedback on work around MRI reconstruction and acceleration algorithms, and cardiovascular digital twins ๐ซ. May 6, 2026 Selected for Cambridgeโs Impulse Programme to bring AI-accelerated, physics-constrained digital twin technology from 4D flow MRI to the real world. May 27, 2025 Pleased to announce that our work on learning the rheology of non-Newtonian fluids from velocimetry data featured in JFM Editorโs Pick.