jason kelly

T2 · manager / operator

Jason Kelly co-founded Ginkgo Bioworks in 2008 straight out of his MIT bioengineering PhD. He bootstrapped the company for six years before joining Y Combinator in 2014. He chaired the National Security Commission on Emerging Biotech and is a leading voice on autonomous labs, AI for science, and the future of biomanufacturing.

8 calls·8 names·88% bull·last heard 5 months ago·Sequoia Capital
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$DNAGinkgo Bioworksposition

Ginkgo pivots to autonomous labs: selling robotic systems and cloud lab services

Ginkgo is focusing on the 'back end' of biology — making physical experimentation cheaper and faster via autonomous robotic labs — and now sells both the hardware (reconfigurable automation carts) and a cloud lab service, targeting pharma, national labs, and eventually individual scientists.

2ndhigh conviction
$OPENAIOpenAI

OpenAI reasoning models drive autonomous lab experiments, beating state-of-the-art by 40%

OpenAI's reasoning models can successfully design and iterate experimental workflows in a robotic lab, achieving a 40% improvement over the state-of-the-art in cell-free protein synthesis after just six rounds of automated experimentation.

3rdmedium conviction
$ISOMORPHIC-LABSIsomorphic Labs

Isomorphic Labs best positioned to prove AI drug discovery at scale given DeepMind backing

Isomorphic Labs, with Alphabet/DeepMind's deep pockets and vertical integration, is the most credible candidate to validate AI-driven drug discovery through clinical candidates, overcoming the asymmetric information problem in biotech investing.

8 total
$ISOMORPHIC-LABS
Isomorphic Labs
MEDjason kelly·Sequoia Capital·5 months ago
Isomorphic Labs best positioned to prove AI drug discovery at scale given DeepMind backing
Isomorphic Labs, with Alphabet/DeepMind's deep pockets and vertical integration, is the most credible candidate to validate AI-driven drug discovery through clinical candidates, overcoming the asymmetric information problem in biotech investing.
"Feels Google with Isomorphic feels like the closest cuz it's actually got deep pockets behind it. Um to actually prove that story up. But, yeah, my bet would be a vertically integ…"
42:19
$MADRA
Madra
LOWjason kelly·Sequoia Capital·5 months ago
Madra pursues lab automation via robotic arms for high-mix workflows
Madra is attempting to automate the 'back end' of lab work using robotic arms, but the approach faces the same high-mix, low-volume integration challenges that have historically limited lab automation.
"There's companies like Madra out here as one that's doing it with like robotic arms trying to accelerate it... they're not really trying to change the fundamentals of how you do i…"
5:40
$ARC-INSTITUTE
Arc Institute
MEDjason kelly·Sequoia Capital·5 months ago
Arc Institute releases Evo 2, a genomic foundation model for biology design
Arc Institute's Evo 2 model, trained on a trillion DNA bases, represents a major advance in genomic foundation models that can serve as a tool for reasoning models to design biological systems.
"The folks at Arc Institute are really just came out today with a paper we'll call it about Evo 2, which is like a a genomic model. There's a whole community of people now trying t…"
4:52
$COLOSSAL-BIOSCIENCES
Colossal Biosciences
MEDjason kelly·Sequoia Capital·5 months ago
Colossal Biosciences achieves dire wolf de-extinction, mammoth next
Colossal has demonstrated tangible progress in de-extinction (dire wolf) and is advancing toward the woolly mammoth, showcasing the expanding capabilities of genetic engineering beyond therapeutics.
"They haven't brought back the woolly mammoth yet, but they brought back a direwolf. Oh, a direwolf, sorry. Mammoth is coming, so I'm sure."
47:10
$ALPHACHIP
AlphaChip
MEDjason kelly·Sequoia Capital·5 months ago
Sequoia backs AlphaChip team using AI to design superior semiconductors
The AlphaChip team from Google, now backed by Sequoia, demonstrates that AI can already achieve superhuman chip design — a 'Move 37' moment for semiconductors that signals pocket superintelligence arriving across industries.
"We just backed this team that did the AlphaChip project at Google. So they like they're using AI systems to actually just design chips that perform better than what human chip des…"
43:28
$DNA
···
Ginkgo Bioworks
HIGHjason kelly·Sequoia Capital·5 months ago· position
Ginkgo pivots to autonomous labs: selling robotic systems and cloud lab services
Ginkgo is focusing on the 'back end' of biology — making physical experimentation cheaper and faster via autonomous robotic labs — and now sells both the hardware (reconfigurable automation carts) and a cloud lab service, targeting pharma, national labs, and eventually individual scientists.
"That's like one half of my business now is like I'll build you an autonomous lab. You know, Pacific Northwest National Lab, DOE or Merck or whoever. Does that make sense? And then…"
31:30
$CHAI-BIO
Chai Bio
MEDjason kelly·Sequoia Capital·5 months ago
Chai Bio's protein models secure major partnership with Eli Lilly
Chai Bio is a leading player in AI protein design and has already translated its models into a significant commercial deal with Eli Lilly, validating the near-term revenue potential of AI-driven drug discovery.
"The folks leading on the design side, you might see companies like Chai Bio for example like who has like these protein models Bolts... Chai just did a big deal with Lilly. Like t…"
4:47
$OPENAI
OpenAI
HIGHjason kelly·Sequoia Capital·5 months ago
OpenAI reasoning models drive autonomous lab experiments, beating state-of-the-art by 40%
OpenAI's reasoning models can successfully design and iterate experimental workflows in a robotic lab, achieving a 40% improvement over the state-of-the-art in cell-free protein synthesis after just six rounds of automated experimentation.
"We gave the model we did each round we would do 100 384 well plates... after four rounds of that, we beat state of the art and after six rounds, we beat it by 40%. And so that was…"
8:18