Gage DeZoort

@yashevde Fascinating stuff, updating my internal dictionary with "spacecare"

Join, or Die on Earth

@Rythian47 Try this link: rdcu.be/daCnw

@GDezoort Is there an open access version of the article?

Check out our review of graph neural networks at the LHC! Complete with intros to both LHC physics and GNN methods to engage both audiences :)

Check out our recent proceedings on object condensation applied to charged particle tracking! TL;DR, condensing tracks in a learned latent space is a powerful way to render tracks downstream from an edge classifier arxiv.org/abs/2309.16754

@BasicScienceSav @Francesco_dgv This looks really interesting, looking forward to reading! And congrats on the acceptance @Francesco_dgv!

@Francesco_dgv @GDezoort check this out (also francesco is great and you should chat gnn theory with him). And congrats Francesco!

I am really happy this paper got accepted at TMLR. I think venues such as TMLR suit "theoretically-oriented" works and are quite more robust to the randomness (both positive and negative) of conference reviews A thread about the paper below :)

@BasicScienceSav Thanks so much @BasicScienceSav!! It was wonderful having you at the defense :)

Biggest congratulations to Dr. @GDezoort!! I can’t believe he just got his PhD because his work has been extraordinary for years already. Gage, you’re truly one of the most thoughtful and creative researchers I know. Can’t wait to see what you do next!

Art and science collide!

In our May issue: 🎇Graph neural networks at the Large Hadron Collider 🤖Science in the age of LLMs ✨Density matrix renormalization group 🥪Superconductivity & correlated phases in non-twisted bilayer & trilayer graphene nature.com/natrevphys/vol…

Very nice and informative read! 🎉 (Missed it until now 🙃) nature.com/articles/s4225…

Sequel to a previous such review with @PeterWBattaglia "GNN at the LHC" now online doi.org/10.1038/s42254… at @NatRevPhys. Shout out to @GDezoort and CatherineBiscarat for all the work !

Our paper titled “Graph Neural Networks for Charged Particle Tracking on FPGAs” is now published in @FrontiersIn in Big Data (Efficient #AI in #ParticlePhysics and #Astrophysics)! frontiersin.org/article/10.338… @jmgduarte @BasicScienceSav @vesal_rm @ShihChiehHsu1 @GDezoort @iris_hep

I've started a research blog! gagedezoort.github.io My first posts focus on 1) correcting the "missing mass" carried away by neutrinos in tau-tau mass spectra and 2) particle tracking using a conformal mapping of tracker hit coordinates... more to come!

Do you want to learn about Physics grad admissions from a Princeton perspective? Attend the Grad Life, Grad App, and CV & SOP webinars! Register ASAP, first event is in 10/20. See our site for more details! phy-ambassadors.princeton.edu/grad-admission…

The 2022 Prospective Physics PhD Review is accepting applications! P4 runs Jan 28th-30th and helps students engage in research, identify ideal grad programs, and develop a competitive grad app. Click here for details and how to apply! phy-ambassadors.princeton.edu/p4/

We're happy to welcome the Princeton Physics Ambassadors to Twitter! Be sure to check out the videos from their first Prospective Physics PhD Preview (P4) program, and feel free to ask them anything about grad life, apps, and research.

So proud of the Princeton Physics community for pulling off the first P4 (Prospective Physics PhD Preview), here's to many more! @PrincetonPhys

Our vCHEP paper characterizing Interaction Networks for particle tracking is up! We show that networks with as few as 6k parameters reach nearly perfect edge classification efficiency (eg more likely to fit on FPGAs 😉) @GDezoort @MarkSNeubauer @jmgduarte arxiv.org/abs/2103.16701

Our proof-of-concept paper using instance segmentation methods for particle tracking is up on arxiv! A work in progress, but I'm very excited to see where this work goes! arxiv.org/abs/2103.06509

@BasicScienceSav Right back at you! Excited to see these ideas develop

Shout out to the best collaborator and co-author @GDezoort!

The Physics EDI bookclub on 'Einstein on Race and Racism' concluded in February. During the bookclub we come together to talk frankly about race and how we can use our collective mass to change the shape of racial bias in physics. For EDI details: ow.ly/6Gdi50DUk9S