Rich Kilburn Jr.

Check out my and my STRPL members’ bios at stripplelab.ucsd.edu/people/!

I’m a Ph.D Candidate! A satisfying way to cap off my most difficult quarter!

@termofilos @Scripps_Ocean That’s my big bro right there 🙂‍↕️

Congrats Dr. @termofilos! My boy successfully defended and I couldn’t be prouder of him! Go live it up brother 🙂‍↕️🎓

@ecpbreard @DufekLab @GeosciencesEd Let’s goooo PJ!

I don’t know who needs to hear this but your PhD doesn’t need to be perfect. It just needs to be finished.

Congrats @jhardeldasent !! My boy killing it out here 🫡

The costs of doing a Phd 😅

@AlbanSauret @ecpbreard Thanks Alban! Was great to be so welcomed by the community. I’m looking forward to the next GRC too 🙂‍↕️

@GeoKilburn @ecpbreard It was a great poster and a great talk! Looking forward to seeing you at the next GRC Granular Materials.

Had an awesome time at the Gordon Research Conference for Granular Matter 2024! Went with a poster, ended up winning the poster prize (❗️😵‍💫🤩), and gave my 1st talk as a result… what a time! Also, shoutout to @ecpbreard for the cool volcano/chicken stickers 🌋

@jhardeldasent Thanks man!

He killed it!

🫡 reporting live from the GRC

Giving my first talk today! At the Gordon Research Conference for Granular Physics…. Nervous is an understatement 🙂‍↕️😵‍💫

Day 2 at GRC Granular Matter and wow. So much amazing science.

KAN: Kolmogorov–Arnold Networks is a really elegant paper. It's refreshing to see that things worked by design rather than by accident in ML. I made a small KAN experiment comparing it to MLP and spline fitting. (notebook in comments!)

Dreaming of escaping the 9-to-5 grind? Do a PhD. Endless freedom. Endless hours. Endless work.

See you there! Just to let you all know, me and Karen Daniels are planning a wild tag-team plenary talk... You don't wanna miss it!

Distributed acoustic sensing (DAS) data is complicated. This figure shows the anatomy of the noise components in the DAS data. As a result, we need to develop individual approaches to deal with these complicated noise components before we can better leverage the fiber optic data.

This is what eye rubbing looks like through an MRI scanner

Honestly 😂