Kevin K. Yang 楊凱筌
@KevinKaichuang
Principal Researcher in BioML @MSFTResearch (@MSRNE). He/him/他. 🇹🇼
We (@ZvxyWu, @francesarnold) wrote a review about machine learning for protein engineering, but there's so many new papers that we can't update it quickly enough. So Zach and I made a public list of papers covering machine learning on proteins. github.com/yangkky/Machin…
"The body of data available in protein sequences is something fundamentally new in biology and biochemistry, unprecedented in quantity, in concentrated information content and in conceptual simplicity." - Margaret Dayhoff describing my research better than me before I was born
BioEmu now published in @ScienceMagazine !! What is BioEmu? Check out this video: youtu.be/LStKhWcL0VE?si…
Today in the journal Science: BioEmu from Microsoft Research AI for Science. This generative deep learning method emulates protein equilibrium ensembles – key for understanding protein function at scale. msft.it/6010S7T8n
Getting ready for a release, and I'm kinda sad that @huggingface papers doesn't integrate with @biorxivpreprint
Happening today at 4PM ET!
Next Tues (7/1) at 4PM ET, @NathanielBlalo2 and @srivsesh will present "Functional alignment of protein language models via reinforcement learning" Paper: biorxiv.org/content/10.110… This will be followed by @WengongJin, who will give an early-career talk on Wed (7/2) at 4PM ET!
How many of them are spending the week interviewing at meta? gizmodo.com/openai-reporte…
Next Tues (7/1) at 4PM ET, @NathanielBlalo2 and @srivsesh will present "Functional alignment of protein language models via reinforcement learning" Paper: biorxiv.org/content/10.110… This will be followed by @WengongJin, who will give an early-career talk on Wed (7/2) at 4PM ET!
Giving a talk in town is great because I can leave my house 25 minutes before the talk begins, then go home after and roll a hospital pacifier around on the floor with a 3yo before meetings at the office.
Happening today at 4PM ET!
Next Tues (6/17) at 4PM ET, we will have Bora Guloglu and @tomdbarrett present "Flexible Antibody Design with Multimodal Bayesian Flow Networks" Paper: biorxiv.org/content/10.110… This will be followed by @BrianHie, who will give an early-career talk on Wed (6/18) at 4PM ET!