Daniel Zeng

ML Research | prev @genesismolai @stanford @googleresearch

[Daniel Zeng @danielzeng_]

@philhchen @tkkong awesome!!

[Daniel Zeng @danielzeng_]

@TheEthanDing @TextQL @blackstone @HOFCapital @neo @DCM_VC @PickensAllison @UnshackledVC @Dropbox @varsharao congrats Ethan!!

[Daniel Zeng @danielzeng_]

@ericzelikman @gharik @YuchenHe07 @TheAndiPenguin @noahdgoodman congrats Eric!!

[Daniel Zeng @danielzeng_]

@philhchen @polynoamial @ClemensWinter Good luck Phil!

[Daniel Zeng @danielzeng_]

scaling Dans is all you need

[Dan Zhang @ ICLR @DZhang50]

now recruiting for our new startup! we only hire people named Dan Z*ng

[Genesis Molecular AI @genesismolai]

Excited to share Pearl from Genesis Molecular AI (yes, we've updated our name!): the first co-folding model to clearly surpass AlphaFold 3 on protein-ligand structure prediction.

Unlike LLMs that train on vast public data, drug discovery AI faces fundamental data scarcity. Our 3D foundation model – #pearlAI – solves this with physics-based synthetic data generation and an innovative, controllable, architecture that leverages equivariant neural networks and an improved ability to leverage 3D templates as structural priors for in-context learning.

Pearl is already deployed on live programs. Grateful to our incredible team and @NVIDIA for this collaboration. Read more: https://t.co/bu5SEkUPY9

[Daniel Zeng @danielzeng_]

@ammaar @GoogleDeepMind Congrats Ammaar!

[Daniel Zeng @danielzeng_]

@michelleqin_ That’s awesome! Congrats!

[Gabriele Corso @GabriCorso]

Thrilled to announce Boltz-1, the first open-source and commercially available model to achieve AlphaFold3-level accuracy on biomolecular structure prediction! An exciting collaboration with @jeremyWohlwend, @pas_saro and an amazing team at MIT and Genesis Therapeutics. A thread!

[Daniel Zeng @danielzeng_]

@fedesimio To reduce sidebar clutter, would it also be possible to user-customize and hide sections? E.g. I rarely use Tasks, Calendar, Home, or (if added Files) and would be nice to personalize the sidebar as well

[arXiv Daily @Arxiv_Daily]

ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy
https://t.co/LsgSJFAbPm
by @danielzeng_ et al.
#ComputerScience #Learning

[Daniel Zeng @danielzeng_]

@michelleefang hi! would love to be in the loop! 🙌 thanks

[Daniel Zeng @danielzeng_]

@selinayfilizp I'm interested! Thank you 🙌

[Daniel Zeng @danielzeng_]

@akshayadinesh19 @aakashadesara !!