Liaoyi Xu

PhD student @UTAustin; previous @ZJU_China

[Liaoyi Xu @xliaoyi]

@DmitryRybin1 Why can’t it be SI (思) and AI (癌)?

[Geoffrey Hinton @geoffreyhinton]

The idea of an intelligence explosion caused by recursive self improvement has been around for a long time but until very recently it did not seem imminent. Now many leading researchers think it may happen quite soon. You can read our paper about it here:
https://t.co/sgUpugjpRY

[Liaoyi Xu @xliaoyi]

@SuJinyan6 I agree we should stop AI slop, but in the current environment, it’s not really feasible. Many people don’t even read or check AI-generated code. If you stay ethical you may lose competitiveness in the job market to people with lots of AI made projects and papers on their resume

[Yun S. Song @yun_s_song]

We are thrilled to share that our GPN-Star manuscript is now published and freely available:
https://t.co/cLGQj5GXmU
(1/n)

[Liaoyi Xu @xliaoyi]

@lydiahallie Can we have inline latex rendered correctly?

[Tengyu Ma @tengyuma]

😊 I also just uploaded a new version of the lecture notes. https://t.co/bpIvdgG8KO (it's still, and perhaps will always be work-in-progress, given the field is moving fast. Any mistakes are mine :) and any feedback is more than welcome :).

[Richard McElreath 🐈‍⬛ @rlmcelreath]

We've added to the website a free PDF of the Bayesian Workflow book (for non-commercial purposes, like research and exorcism). We put so much work into this book, hope you all find value in it. https://t.co/f472XjM6cf

[vivek @itsreallyvivek]

https://t.co/ZhOgyq7Vgn

[Daniel Tabin @DanTabin]

Part 3 in my series on population genetics: In this video I try to give viewers an intuitive understanding of FST via a little game I call "guess the gamete"

[Devansh Pandey @devpandeyay]

Half of people with heart disease first find out after a heart attack. What if we could see risk years earlier using MRI, genetics, and blood tests? We introduce preCog, a multimodal AI for preventive cardiology trained on >500k images and genetic data from 1.25M individuals.

[Eucharist Kun @EucharistKun]

Scoliosis is the most common spinal deformity, but its genetic causes are still unclear. Using AI to measure spinal curves in 57,887 people, we discovered 2 novel genetic risk loci - showing how deep learning can unlock insights into musculoskeletal health https://t.co/sTlTTm5cxx

[Edward C. Huang @edwardhuangc]

What did family trees look like in prehistory? Ancient DNA now lets us sample hundreds of people from a site, but pedigrees have been difficult to reconstruct. Our new tool “repare” finally enables automatic ancient pedigree reconstruction… more in the replies! ⬇️

[Sanjeev Arora @prfsanjeevarora]

Congrats on this launch! Good to see our own @dingli_yu in the foreground!

[Liaoyi Xu @xliaoyi]

Big thanks to my amazing co-authors for their contributions and collaboration on this project. @EucharistKun @devpandeyay @joyce_yiyi_wang @theoldbones @TarjS @vagheesh

[Liaoyi Xu @xliaoyi]

Thrilled to share that the first project from my PhD is now published in Science (@ScienceMagazine)! 🎉

We studied the genetic architecture of and evolutionary constraints on the human pelvic form.

Read more:

https://t.co/KjN3Vqp2wI

[Lida Wang @LD_matrix]

I am thrilled to share one of the most important projects from my PhD! We developed the method JOBS (JOint model of Bk-eQTLs as a weighted sum of Sc-eQTLs) and applied it to blood bulk (eQTLGen) and sc-eQTL (OneK1K). 1/3

[Jian Yang @jyang1981]

gsMap paper online. Source code: https://t.co/J1YnfnJ1j6. Results visualisation website: https://t.co/mVKmv21wbZ.

[Michael R. Schwob @mrschwob]

My first textbook is officially available for pre-order today. Grab a copy if you're interested in developing a (statistical) research-oriented mindset. The book is designed as a stepping stone from statistical coursework to novel statistical research.
https://t.co/SO6rIb0d03

[NYU Courant @NYU_Courant]

Hong Wang delivered her lecture “Kakeya Sets in R^3” to a packed crowd at yesterday’s Mathematics Colloquium!

[Peiyi Wang @sybilhyz]

Last year, I joined DeepSeek with no RL experience. While conducting Mathshepherd and DeepSeekMath research, I independently derived this unified formula to understand various training methods. It felt like an "aha moment", though I later realized it was PG.