Brian Hie (@brianhie) 's Twitter Profile
Brian Hie

@brianhie

Machine learning for biology
@Stanford and @arcinstitute

ID: 392519620

linkhttp://brianhie.com calendar_today17-10-2011 05:04:30

1,1K Tweet

7,7K Followers

470 Following

Hani Goodarzi (@genophoria) 's Twitter Profile Photo

Joining forces with Babak Alipanahi, Hormozdiari Lab, Aiden M Sababi & Mehran Karimzadeh to bring you Exai-1; a multi-modal cell-free RNA foundation model for blood surveillance and liquid biopsy. Kudos to the broader exai bio team for getting this across the line. biorxiv.org/content/10.110…

Eric Nguyen (@exnx) 's Twitter Profile Photo

So excited to be speaking at #ted2025 this year! I’ll be talking about the intersection of AI and biology 🧬

So excited to be speaking at #ted2025 this year!

I’ll be talking about the intersection of AI and biology 🧬
Machine learning for protein engineering seminar (@ml4proteins) 's Twitter Profile Photo

Next Tues (4/15) at 4PM ET we will have Garyk Brixi present "Genome modeling and design across all domains of life with Evo 2" Paper: biorxiv.org/content/10.110… Sign up on our website for zoom links!

Itai Yanai (@itaiyanai) 's Twitter Profile Photo

Is the genome just a bag of genes? A new paper in Science Magazine now reports that for two thirds of an organisms' genes the position along the chromosome is actually very tightly constrained! Amazing work from my favorite night scientist Martin Lercher and his team!

Is the genome just a bag of genes? A new paper in <a href="/ScienceMagazine/">Science Magazine</a> now reports that for two thirds of an organisms' genes the position along the chromosome is actually very tightly constrained! Amazing work from my favorite night scientist <a href="/MartinJLercher/">Martin Lercher</a> and his team!
Ali Madani (@thisismadani) 's Twitter Profile Photo

What could scaling unlock for biology? Introducing ProGen3- our next AI foundation models for protein generation. We develop compute-optimal scaling laws up to 46B parameters on 1.5T tokens with real evidence in the wet lab. +we solve a new set of challenges for drug discovery

Alexander Wei (@alexwei_) 's Twitter Profile Photo

There is no rest when training models at scale. You spend some days in an industrial forge, sparks flying as the machines clang and sputter. You spend other days in the operating room, performing a delicate surgery for a newly discovered condition, hoping the patient recovers

John Cumbers (@johncumbers) 's Twitter Profile Photo

I'm joined with Anna Marie Wagner, a real expert in AI and bio, and we’re talking about some of the incredible speakers coming to #SynBioBeta2025 this year. One of the people we are especially excited about is Brian Hie from the Arc Institute. Brian is doing groundbreaking work

Talal Widatalla (@talaldotpdb) 's Twitter Profile Photo

Thrilled that our work "Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN" has been accepted to ICML 2025! 🥳 Looking forward to connecting with the ML and comp bio communities in Vancouver this July! :)

Stanford University (@stanford) 's Twitter Profile Photo

For neurodegenerative diseases like Alzheimer’s and Parkinson’s, treatment options are scant. New research identifies a promising access point to therapeutics. news.stanford.edu/stories/2025/0…

ThaissLab (@thaisslab) 's Twitter Profile Photo

.@ArcInstitute is redefining how biomedical research is conducted. Looking to harness body-brain communication to counteract human disease, our lab is exploring new approaches through shared tools & collaboration. Read more in our Q&A. arcinstitute.org/news/news/chri…

ratan (@ratankaliani) 's Twitter Profile Photo

Over the last 2 weeks, I took a deep dive into Evo 2, Arc's Genomic Foundation model. But, I couldn't find a crisp primer on Evo 2 that covered the decisions for the ML architecture, the inference-time scaling results or the mechanistic interpretability results. So, I wrote one!

Niko McCarty đź§« (@nikomccarty) 's Twitter Profile Photo

Today is my first day as Writer-in-Residence at Arc Institute I'll be writing about the Virtual Cell, genome editing + much more. Grateful for the invitation to spend my summer here and learn more about AI+Bio!

Today is my first day as Writer-in-Residence at <a href="/arcinstitute/">Arc Institute</a>

I'll be writing about the Virtual Cell, genome editing + much more.

Grateful for the invitation to spend my summer here and learn more about AI+Bio!
Ellen Zhong (@zhongingalong) 's Twitter Profile Photo

🎉New preprint!🎉 Extremely excited to share CryoBoltz❄️⚡️, led by superstar Rishwanth Raghu! We develop a multiscale guidance recipe to steer structure prediction models (e.g. AlphaFold3 / Boltz-1) towards experimental cryo-EM density maps, including heterogeneous,

Yusuf Roohani (@yusufroohani) 's Twitter Profile Photo

Cells are dynamic, messy and context dependent. Scaling models across diverse states needs flexibility to capture heterogeneity Introducing State, a transformer that predicts perturbation effects by training over sets of cells Team effort led by the unstoppable Abhinav Adduri

Cells are dynamic, messy and context dependent. Scaling models across diverse states needs flexibility to capture heterogeneity

Introducing State, a transformer that predicts perturbation effects by training over sets of cells

Team effort led by the unstoppable <a href="/abhinadduri/">Abhinav Adduri</a>
Stanford University (@stanford) 's Twitter Profile Photo

Stanford biochemist Lingyin Li is studying a tumor-fighting “miracle molecule” that could one day inform therapies for cancer, as well as autoimmune, neurodegenerative, and age-related diseases: stanford.io/3I5xqfx

Stanford biochemist Lingyin Li is studying a tumor-fighting “miracle molecule” that could one day inform therapies for cancer, as well as autoimmune, neurodegenerative, and age-related diseases: stanford.io/3I5xqfx