Welcome
I'm David Llewellyn-Jones, a Research Data Scientist for The Alan Turing Institute at the British Library in London. I occasionally crave adventure and a good thunderstorm.
I'm interested in programming, privacy, maths and graphics. I'm a proponent of open source, open research, and end-users' right to privacy and control. I strive to contribute to a circular economy.
This site has been capturing my thoughts and outputs on these topics since 1998, including my software, research and random musings.
Want to know more about me? Here's a personality sketch written by a psychologist when I was in school.
“David is of high intelligence, although lacking in true creativity. He has a need for order and clarity, and for neat and tidy systems in which every detail finds its appropriate place. His writing is rather dull and mechanical, occasionally enlivened by somewhat corny puns and by flashes of imagination of the sci-fi type. He has a strong drive for competence. He seems to have little feel and little sympathy for other people and does not enjoy interacting with others. Self-centered, he nonetheless has a deep moral sense.”
Wow. Harsh. But disturbingly accurate.
This site was created using Flagellum. You can change the site style or disable the animation.
News
14 May 2026 : Porting the Aurora Weather Model to Intel Accelerated Hardware #
Added slides to the presentations page for my talk tomorrow at AIRR@CAM: "Porting the Aurora Weather Model to Intel Accelerated Hardware."
9 Jan 2026 : The snow ceased #
It's still pretty cold outside in real life, but on this sight I've now switched back to the usual non-snowy animations.
4 Jan 2026 : Now now now #
More updates to my Now Page, with a summary of my activities over Christmas and thoughts for the new year.
3 Jan 2026 : Catching up on site updates for 2025 #
I've made a bunch of updates to the site, catching up with things that happened in 2025.
- Three presentations added to the Presentations Page: "Porting Microsoft Aurora to Dawn", "NewPipe - Porting an Android app to Sailfish OS" and "State of FOSS on mobile".
- Two publications added to the Publications Page: "FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design" and "Technical overview and architecture of the FastNet Machine Learning weather prediction model, version 1.0".
- SailPipe added to the Sailfish OS Page.