The cost of gene synthesis prevents machine-learning guided directed evolution from reaching it's full potential. A very nice perspective by the inimitable Bruce Wittmann. arxiv.org/abs/2609.03046
Who's Who of AI
Kevin K. Yang 楊凱筌
Why they matter
Researcher with public evidence across AI research.
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- 1 past 30d
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- 21d ago
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
What they're sharing
Advances in Machine Learning for Directed Evolution: A Five-Year Retrospective arxiv.org
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
Gaussian process kernels that encode evolutionary information and local linearity improve protein sequence-fitness predictions. arxiv.org/abs/2606.11057
TadA-Bench: a 31-round, million-variant wet-lab enzyme engineering dataset. arxiv.org/abs/2606.02624
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