Genomics x AI/ML & Shiba aficionado
Bay Area, CA
Joined July 2015
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Stanley Hsieh retweeted
Our colleague Cinthia Millan, a scientist in our protein biochemistry & drug discovery group, is the inaugural member of our Pronunciation Nation. Xaira rhymes with thera!
Head of Computational Biology @Xaira_Thera
linkedin.com/jobs/view/39137…
Come join us and work with exceptionally talented genomic & proteomic scientists, drug developers, protein designers, and more @awblocker. We can make the world a better place together @Xaira_Thera!
#hiring
Stanley Hsieh retweeted
Today we emerged from stealth mode! Jointly incubated by ARCH Venture Partners & @ForesiteLabs, and led by founding CEO Marc Tessier-Lavigne, we're excited to introduce our team & mission in today's release:
businesswire.com/news/home/2…
We're thrilled to emerge from stealth. Grateful for the opportunity to work with incredibly talents in AI, proteomics, genomics, and operations daily. Building @Xaira_Thera with the team is kind of a once-in-a-lifetime chance. Stay tuned for the many exciting discoveries ahead!
BREAKING: With over $1 billion & a star-studded cast, a new AI bio called Xaira Therapeutics is launching with massive ambitions to remake R&D, its leaders exclusively tell @RLCscienceboss and me.
A lot to unpack in this scoop — read it only @endpts:
endpts.com/in-biggest-ever-b…
Stanley Hsieh retweeted
BREAKING: With over $1 billion & a star-studded cast, a new AI bio called Xaira Therapeutics is launching with massive ambitions to remake R&D, its leaders exclusively tell @RLCscienceboss and me.
A lot to unpack in this scoop — read it only @endpts:
endpts.com/in-biggest-ever-b…
Stanley Hsieh retweeted
BREAKING: With over $1 billion & a star-studded cast, a new AI bio called Xaira Therapeutics is launching with massive ambitions to remake R&D, its leaders exclusively tell @RLCscienceboss and me.
A lot to unpack in this scoop — read it only @endpts:
endpts.com/in-biggest-ever-b…
Stanley Hsieh retweeted
$1B+ in committed capital makes Xaira one of the biggest raises in biotech history
endpts.com/in-biggest-ever-b…
Stanley Hsieh retweeted
What's a good way of organizing scRNA-seq data for training foundation models?
Say you run 1k experiments and each measures counts for 1M cells with varying metadata and orthogonal data.
Storing these data in one gigantic array isn’t exactly easy.
We wondered whether it’s necessary to train foundation models and found 3 setups that made sense to us.
lamin.ai/blog/arrayloader-be…
Stanley Hsieh retweeted
JUST IN: 7.5 magnitude earthquake strikes Taiwan, rocking the whole island and even causing several buildings to collapse.
The earthquake triggered a tsunami warning of up to 10 feet from Japan.
"Tsunami is coming. Please evacuate immediately. Do not stop. Do not go back," said an NHK anchor.
The city of Hualien on the east coast of Taiwan appeared to sustain significant damage. The city was near the epicenter of the earthquake.
🌟 Join our trailblazing biotech startup! 🌟 If you have a burning passion for science and wet-lab work, an insatiable thirst for knowledge, and the drive to achieve something extraordinary, we want YOU! 🚀
🔥🔥Please find the details here: tinyurl.com/mr3csrcb
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Stanley Hsieh retweeted
Why was the CEO of $1T Nvidia shopping at a night market in Taipei?
He flew there to give a commencement speech at NTU.
Here are the top 12 insights from Jensen's speech 👇
Stanley Hsieh retweeted
1/n Our Region Capture Micro-C (RCMC) preprint by @ViraatGoel @mileshuseyin is out today in @NatureGenet at rdcu.be/dbEuM
See also MIT News story at news.mit.edu/2023/unpreceden… with a nice 2-min video explainer youtube.com/watch?v=oybAJIeV…
More details below:
(1/n) Excited to share preprint by @ViraatGoel @mileshuseyin
We develop Region-Capture Micro-C (RCMC)
By focusing on specific regions, we generate the deepest 3D genome maps thus far
We see coalescence of enhancer and promoters into “microcompartments”
biorxiv.org/content/10.1101/…
Stanley Hsieh retweeted
Today we report in @NatureBiotech the development of dual-AAV in vivo delivery systems for prime editors that can support efficient prime editing in multiple organs such as brain, liver, and heart.
1/4
Stanley Hsieh retweeted
Proud of this collaboration, getting to the bottom of the links between chromatin mobility, #transcription control and #loopextrusion processes, now on bioRxiv:
biorxiv.org/content/10.1101/…
1/8
@mitchell_lab @tinekelenstra @EviSoutoglou @molina_lab @AkisPapantonis @kerstinbys
Stanley Hsieh retweeted
In our latest preprint, the brilliant @XiaoyiLi10: 1) discovers massive influence of chromatin on prime editing & 2) shows epigenetic "pre-treatment" of a locus w/ CRISPRa can markedly enhance prime editing efficiency. See thread below & biorxiv.org/content/10.1101/… for more details!
Thrilled to share my work describing chromatin-context dependent regulation of prime editing and our effort in leveraging this knowledge to modulate prime editing outcomes. biorxiv.org/content/10.1101/… 1/21
Stanley Hsieh retweeted
Hot off the press! Our (truly collaborative with the labs of @AndreasBeyer012 @CECAD_, @AntebiLab and Linda Partridge @MPIAGE and mine @yourUMG) story linking #ageing with #RNAPII elongation in across species is out @Nature and free to read: rdcu.be/c9KA3
A thread /
Stanley Hsieh retweeted
Excited to share our lab's latest preprint, led by @CXchengxiangQIU, @bethkarenmartin & Ian Welsh of @jacksonlab.
We set out to build a single cell roadmap for all of mouse prenatal development, from single cell zygote to free-living pup.
Preprint: tinyurl.com/2nhe4mm9 1/n
Stanley Hsieh retweeted
The next generation of single-cell sequencing methods can be microfluidics-free (but I still love microfluidics).
nature.com/articles/s41587-0…
Stanley Hsieh retweeted
Microfluidics-free single-cell genomics with templated emulsification go.nature.com/3KZh0EI
Stanley Hsieh retweeted
MPRA on 680,000 sequences comprehensively covering all active regulatory elements in 3 cell lines (HepG2,K562,iPSCs). Tour de force by @vagar112 & @TakaInoue5, @JShendure and @KircherLab as part of our @ENCODE_NIH project.
biorxiv.org/content/10.1101/…