
Brian Hie
@brianhie
Machine learning for biology
@Stanford and @arcinstitute
ID: 392519620
http://brianhie.com 17-10-2011 05:04:30
1,1K Tweet
7,7K Followers
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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…


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!

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!




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


Catch Talal Widatalla and Richard Shuai at ICML!





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!


🎉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,


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


