Kevin K. Yang 楊凱筌 (@kevinkaichuang) 's Twitter Profile
Kevin K. Yang 楊凱筌

@kevinkaichuang

Senior Researcher in BioML @MSFTResearch (@MSRNE). He/him/他. 🇹🇼

ID: 795701305691910144

linkhttps://yangkky.github.io/ calendar_today07-11-2016 18:55:49

10,10K Tweet

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Kevin K. Yang 楊凱筌 (@kevinkaichuang) 's Twitter Profile Photo

We showed that full fine-tuning works better than frozen embedding for both CARP and ESM on most tasks in the CARP paper RostLab cell.com/cell-systems/a…

Machine learning for protein engineering seminar (@ml4proteins) 's Twitter Profile Photo

Announcing our first speaker of the fall!! Join us this Tuesday, 9/03, to hear Kaiyi Jiang present EVOLVEpro: rapid protein evolution by few-shot learning with a PLM read the paper: biorxiv.org/content/10.110… as always, sign up on our website to get zoom links via email or DM us!

Kevin K. Yang 楊凱筌 (@kevinkaichuang) 's Twitter Profile Photo

10 years ago: me complaining that my PI makes me write papers in word 10 years from now: my interns complaining that I make them write papers in overleaf

Arjun Krishnan (@compbiologist) 's Twitter Profile Photo

.Ava Amini gave an expansive talk on generative protein design & introduced EvoDiff, a general-purpose diffusion framework for programmable, sequence-first protein design. 📜 doi.org/10.1101/2023.0… 💻 github.com/microsoft/evod… #MLCB2024

.<a href="/avapamini/">Ava Amini</a> gave an expansive talk on generative protein design &amp; introduced EvoDiff, a general-purpose diffusion framework for programmable, sequence-first protein design.

📜 doi.org/10.1101/2023.0…
💻 github.com/microsoft/evod…

#MLCB2024
Amy Lu (@amyxlu) 's Twitter Profile Photo

Short talk on CHEAP and the unreasonable compressibility of protein folding model latent spaces, with a primer for those new to BioML 👇 Full paper: biorxiv.org/content/10.110…

Joshua Meier (@joshim5) 's Twitter Profile Photo

We’re excited to introduce @ChaiDiscovery and release Chai-1, a foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of drug discovery tasks We're releasing inference code, weights & a web interface: chaidiscovery.com/blog/introduct…

We’re excited to introduce @ChaiDiscovery and release Chai-1, a foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of drug discovery tasks

We're releasing inference code, weights &amp; a web interface: chaidiscovery.com/blog/introduct…