@stanford cs & product design
San Francisco, CA
Joined October 2024
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Evelyn Hur retweeted
Check out our website proto.evodesign.org, which visualizes our designs and provides open access to 120+ biological AI models and tools!
To learn how to navigate the UI and start designing with our Proto agent, check out youtu.be/8UnOrC_0jmo?si=rq-Q…
We've received amazing feedback over the past day and we're excited to see what the community builds! proto.evodesign.org
Evelyn Hur retweeted
In new work, we lay out a vision for a high-level programming language for generative biology, called Proto.
Proto composes generative and predictive models spanning DNA, RNA, proteins, ligands, and their interactions, which we use to design complex biological functions. 1/n
Evelyn Hur retweeted
Biological engineering has long aimed to make biological systems designable, composable, and programmable across scales and modalities. However, existing biological AI models and tools are siloed and difficult to compose.
Today, we’re proud to share our preprint for Proto, a high-level programming language and open infrastructure layer generative biology.
*This thread is centered around the Proto Language. For the full paper thread, check out: xitter.cf/aditimerch/status/2069…
Biological engineering has long aimed to design living systems with the programmability of software, but the tools to do so rarely fit together.
Today, we’re sharing our preprint introducing Proto, a high-level programming language for generative biology that composes models and design tools across DNA, RNA, and proteins to optimize towards user-specified functional objectives.
Evelyn Hur retweeted
Biological engineering has long aimed to design living systems with the programmability of software, but the tools to do so rarely fit together.
Today, we’re sharing our preprint introducing Proto, a high-level programming language for generative biology that composes models and design tools across DNA, RNA, and proteins to optimize towards user-specified functional objectives.
Evelyn Hur retweeted
Performing bioinformatics analysis and building biological design pipelines can mean a lot of infrastructure fighting: fragmented tools, idiosyncratic formats, and APIs that are hard to compose. That friction slows researchers down, and as this Anthropic blog post lays out, it's now a major bottleneck for modern agents as well.
Today, we're releasing Proto, a design platform for generative biology. This thread is on the layer that makes it work: proto-tools, a universal open-source infrastructure layer for biological models and tools.
New Science Blog: Why has AI advanced faster in coding than in biology?
To agents, bio databases are like cities built before cars—maddening to drive in because they're designed for different traffic.
How do we build infrastructure agents can use?
anthropic.com/research/agent…
