Anshul Kundaje
@anshulkundaje.bsky.social
9.1K followers 4.5K following 960 posts
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
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anshulkundaje.bsky.social
Job Alert: A stealth startup focused on non-cancer diagnostics is keen to hire a deep learning for genomics/bio engineer. I am an advisor for the startup & closely involved. Please see the job description below and get in touch if interested. Plz forward.
Stealth genomics startup focused on non-cancer diagnostic applications

Senior Deep Learning Engineer
•	Ph.D. in relevant field with 3+ years practical experience in deep learning for biology
•	Demonstrated proficiency in building DL architectures using Pytorch or TensorFlow+Keras.
•	Substantial expertise in training lightweight deep learning models and tuning large foundation models.
•	Substantial expertise with developing efficient data loaders for large datasets and optimizing training workflows.
•	Deep expertise training and deploying models in Cloud-based compute environments and local hardware.
•	Sufficient knowledge of the genomics of gene regulation to ask the right questions for the specific information to be gained.
•	Expertise in developing models of gene regulation and sequence-to-function models is a plus.
•	Interactive team player in highly collaborative small setting. Experience collaborating and communicating with biologists.

Interested candidates can send their CV to anshul @ kundaje . net
Reposted by Anshul Kundaje
marisakabas.bsky.social
SCOOP — The White House instructed all federal agency leadership on Tuesday to send out a mandatory message to workers blaming the impending potential government shutdown on House Democrats, The Handbasket was first to learn. Absolutely no modifications to the email were permitted.

My story:
Trump mandates all federal agencies send email blaming Dems for potential gov’t shutdown
Workers call the partisan email "a vile slap in the face."
www.thehandbasket.co
Reposted by Anshul Kundaje
twangmdphd.bsky.social
1/ Happy to share our preprint from the Greenleaf Lab: beCasKAS, our method to directly detect CRISPR base editor off-targets in primary cells. We additionally show how non-coding edits can be triaged for epigenetic dysregulation using deep learning.

www.biorxiv.org/content/10.1...
Reposted by Anshul Kundaje
nobuhamazaki.bsky.social
New paper from my lab and @jshendure.bsky.social lab! Led by the brilliant @zukailiu.bsky.social and @cxqiu.bsky.social. We tackled how anterior and posterior progenitor cells cooperate to self-organize into an embryonic structure (termed AP-gastruloid). (1/n) www.biorxiv.org/content/10.1...
Reposted by Anshul Kundaje
danielbolnick.bsky.social
The GRFP announcement from NSF cuts out an entire cohort of 2nd year students from consideration, without warning. This is so deeply unfair that it warrants a formal protest from the scientific community. If someone wants to work with me to craft an open letter and solicit signatures, LMK.
dangaristo.bsky.social
New: After a long wait, the GRFP solicitation is live! Deadlines have been extended to early November, so applicants have a bit over a month to submit. www.nsf.gov/funding/oppo...
NSF Graduate Research Fellowship Program (GRFP)
www.nsf.gov
Reposted by Anshul Kundaje
erictopol.bsky.social
The projected rise in global cancer deaths
1990 —5.9 million
2023—10.4 million
2050—18.8 million
is yet another reason we need to get primary prevention into high gear, which is now possible but not getting done
www.thelancet.com/journals/lan...
anshulkundaje.bsky.social
And I think this is just the tip of the iceberg. There will be many ways to push this further. Really huge breakthrough IMO from my first reading. Can't wait to use this & build on it. Huge congrats to the team! 3/3
anshulkundaje.bsky.social
Also an absolute showcase for what self supervised learning can do when done right. IMO, this is the first paper that really shows the power of self supervised genomic language models. 2/
anshulkundaje.bsky.social
This is truly an incredible breakthrough IMO. Really exemplifies what you get when deep domain expertise (popgen/evolution/disease genetics in this case) fuses with cleverly crafted ML. What u get r sleek, well thought out architectures that absolutely destroy the behemoths. Wow!! 1/
yun-s-song.bsky.social
We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics.
www.biorxiv.org/content/10.1...
(1/n)
Reposted by Anshul Kundaje
yun-s-song.bsky.social
We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics.
www.biorxiv.org/content/10.1...
(1/n)
Reposted by Anshul Kundaje
yuripritykin.bsky.social
Excited to share our new study:
Single-cell multiomics reveals archetypal regulatory programs shared across CD4 and CD8 T cell subsets in viral infection
bioRxiv: doi.org/10.1101/2025...

🧵 Key findings below 👇
anshulkundaje.bsky.social
But lets be clear that glam journal publishing is a branding & marketing exercise. It is not in any way a step towards greater transparency, accountability & credibility. 12/12
anshulkundaje.bsky.social
... to not support the gate keeping system followed by glam journal publishing. But I also get that for them it is a very cheap (only 13K for gold open access) but effective branding tool. So I definitely do not blame them for taking advantage of it. 11/
anshulkundaje.bsky.social
So yes I would encourage them to release their models open weights, open source, with fabulous documentation & respond to community review. But also ... 10/
anshulkundaje.bsky.social
I would go further & claim that companies are especially are not bound by any of the constraints that masochistic academics impose on themselves by tying their futures to exploitative & wasteful gate keeping publishing systems. 9/
anshulkundaje.bsky.social
So kudos to Deepseek for being super transparent with their tech, models, documentation. But publishing this work in Nature or any other glam journal is entirely a branding and marketing exercise. Lets not pretend otherwise. 8/
anshulkundaje.bsky.social
Occasionally they do live upto the hype. But most of the time that's not the case. The whole gate keeping exercise of glam journals is based on vibes about what is "hot" at the moment. 7/
anshulkundaje.bsky.social
Lastly, I don't know how anyone can claim that publishing a paper in Nature is a way to dial back hype. It is literally a branding exercise. Papers published in glam journals are the most overhyped of all scientific literature. 6/
anshulkundaje.bsky.social
Secondly, there are plenty of studies published in journals including Nature that are full of flaws. So I don't understand how anyone can claim that journal peer review is reliable quality control. 5/
anshulkundaje.bsky.social
Firstly, open source, open weights models can be and are openly vetted, critiqued and developed on by many more than 3 anointed peer reviewers. That is true peer review by a massive community of folks with wide ranging expertise. 4/
anshulkundaje.bsky.social
Peer review by 3 random reviewers and gate keeping by an editorial team from a glam journal is utterly unnecessary. And the point being made here that this form of journal peer review adds some form of verification is utterly misleading. 3/
anshulkundaje.bsky.social
This commentary is skipping the key point that this LLM (DeepSeek-R1) is open source, open weights with transparent documentation and methods (released Jan 2025). That is a key difference relative to other closed source, closed weights LLMs (ChatGPT, Claude, Gemini etc). 2/
anshulkundaje.bsky.social
An editorial was published in Nature recently claiming that glam journal publication of LLMs (like DeepSeek-R1 this case) marks a step towards greater transparency, accountability & credibility www.nature.com/articles/d41.... I have thoughts ... 1/
https://www.nature.com/articles/d41586-025-02979-9
t.co
Reposted by Anshul Kundaje
d0choa.bsky.social
If you care about regulatory variants don’t miss the E2G extension of the @opentargets.org Platform. There are synergies that only a fully open science allows and this is a good one!
jengreitz.bsky.social
Excited for a major milestone in our efforts to map enhancers and interpret variants in the human genome:

The E2G Portal! e2g.stanford.edu

This collates our predictions of enhancer-gene regulatory interactions across >1,600 cell types and tissues.

Uses cases 👇

1/