Michael

PhD student with @CDTFluidsLeeds and @CISTIB. My interests include haemodynamics, data-driven modelling and in-silico trials.

[Michael @MichaelMacRaild]

Really excited to see our in-silico trial paper (my first co-authored paper) appear online today!

Paper: https://t.co/cKRHrtTWb0

Press release: https://t.co/bRQDyDxy5H

[EPSRC CDT Future Fluid Dynamics @CDTFluidsLeeds]

CONGRATULATIONS to our @CDTFluidsLeeds students Michael Macraild and Jacob Perez who were both jointly awarded the best paper prize for the following publications at our annual CDT awards event! 👏
https://t.co/UOnJgLwp6g
https://t.co/5pBnf8tBia

[EPSRC CDT Future Fluid Dynamics @CDTFluidsLeeds]

Congrats to our CDT student Michael Macraild and colleagues on the new paper! "Accelerated simulation methodologies for computational vascular flow modelling"

https://t.co/SeDo6PQ1rG

[Michael @MichaelMacRaild]

Presenting my work on in-silico flow diverter treatment of brain aneurysms earlier today at @VPH_Institute conference!

[Michael @MichaelMacRaild]

Another great @cistib presentation at @VPH_Institute conference from @QiongyaoL on his in-silico calibration study into thrombosis model parameters.

[Michael @MichaelMacRaild]

Great to see Fergus Shone presenting his work on super-resolving 4D flow MRI with PINNs at VPH conference today @cistib @CDTFluidsLeeds

[CISTIB @cistib]

Our fourth and final researcher presenting at #VPH2022 is Michael (@MichaelMacRaild ) 😊

Michael will be giving a presentation on an in-silico performance assessment of a flow diverter👀

This presentation will follow Qiongyao's on Friday at 9.30. No need to go anywhere😉

[CISTIB @cistib]

If you're heading to the #VPH2022 conference make sure you don't miss our #CISTIB researchers! 😊

First is the wonderful Fergus Shone. Fergus will be delivering a presentation on the use of PINNs for MRI 👀

👇If you'd like to get in touch with Fergus👇
https://t.co/vYQyYFPGE2

[EPSRC CDT Future Fluid Dynamics @CDTFluidsLeeds]

Whoop!🙌 Fluids Symposium 22 @UniversityLeeds Leeds was a great success! Fantastic speakers, great attendance and really well organised by the postgraduate team @rm_collet @MichaelMacRaild @FluidsJacob 👏

[Michael @MichaelMacRaild]

Great talk from Zhiming Yuan to close out yesterday’s Leeds Fluid Dynamics Symposium!

[EPSRC CDT Future Fluid Dynamics @CDTFluidsLeeds]

Join us for the annual Leeds Fluid Dynamics Symposium, from 10am to 5pm on Wednesday 22 June! Featuring great talks from @YiannisVentikos, @usamakadri1, @jscanic, Karol Bacik, Angela Busse, Katharine Fraser and Zhiming Yuan. Register here: https://t.co/XSD0ksZAag
#fluiddynamics

[Imperial College London @imperialcollege]

NEWS FLASH! It’s not a dislike of “hard maths” that puts girls off studying or pursuing careers in maths + physics.

It’s outdated and damaging stereotypes that close doors on many talented girls and women.

Ready to hear about some of our most inspiring women physicists?

🧵

[Michael @MichaelMacRaild]

Yorkshire Dales yesterday 📸

[Michael @MichaelMacRaild]

Check out this video explaining the concept of in-silico trials and what we did in our recent paper:

https://t.co/UYHaHLsQKR

[Michael @MichaelMacRaild]

@CDTFluidsLeeds Not sure I would describe the water as warm, but I did go for a quick swim anyway!

[Michael @MichaelMacRaild]

Plenty of beautiful fluid dynamics even on holiday!

[Michael @MichaelMacRaild]

It seems the press release link updates to new stories periodically. This is the permanent link to the press release for our in-silico trial paper: https://t.co/PTWcdvDJQH

[Michael @MichaelMacRaild]

Really excited to see our in-silico trial paper (my first co-authored paper) appear online today!

Paper: https://t.co/cKRHrtTWb0

Press release: https://t.co/bRQDyDxy5H

[Michael @MichaelMacRaild]

This is where my research comes in!

The aim of my PhD is to use data-driven modelling techniques, such as reduced order models and physics-informed deep learning, to accelerate the computational simulations that are essential to ISTs.

#CDTTweCon 3/3

[Michael @MichaelMacRaild]

PhD title: Efficient ensemble simulation methods for in-silico trials of endovascular medical devices.

What is an in-silico trial (IST)? Put simply, ISTs are clinical trials performed using computational modelling and simulation instead of real-life patients.

#CDTTweCon 1/3

[Michael @MichaelMacRaild]

Recently, our group (@CISTIB) published a proof of concept IST, where we recreated and expanded upon results from three clinical trials of an aneurysm treatment device.

Despite this successful study, ISTs remain limited by expensive computational models.

#CDTTweCon 2/3

[Michael @MichaelMacRaild]

Great article on in-silico trials featuring a nice picture of me and @sarami_a!

[Prof Alejandro Frangi FREng @affrangi]

Replace, Reduce, Refine: In-Silico Trials in The Spotlight https://t.co/AEokhNhQGG via @clinicalomics