Gaussian process kernels that encode evolutionary information and local linearity improve protein sequence-fitness predictions. arxiv.org/abs/2606.11057
Who's Who of AI
Kevin K. Yang 楊凱筌
Why they matter
Researcher with public evidence across AI research.
- AI signals
- 1 past 30d
- Sources
- 1 distinct domains
- Discussões
- 0 past 30d
- Latest signal
- 18d ago
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
What they're sharing
Flexible Kernels for Protein Property Prediction arxiv.org
TadA-Bench: A Million-Variant Benchmark for Future-Round Discovery Toward Agentic Protein Engineering arxiv.org
Articles & links
TadA-Bench: a 31-round, million-variant wet-lab enzyme engineering dataset. arxiv.org/abs/2606.02624
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