Teahose.
SIGN IN
NEW HERE — WHAT TEAHOSE DOES
We read the entire AI & tech firehose — so you don't have to.
PODPodcastsAll-In, No Priors, Acquired…
NEWNewslettersStratechery, Newcomer…
PAPPapersPhysical AI research
PHProduct Huntdaily launches
VCInvestor ScoutSequoia, a16z, Benchmark…
CLAUDE DISTILLS →
7 reads, 30 sec each — free, 6 AM ET.
+ a live graph of the companies, people & themes underneath.
HOME/PEOPLE/PRISCILLA CHAN
// PERSON

Priscilla Chan

ROLE CO-FOUNDERAT CHAN ZUCKERBERG BIOHUBMENTIONS 6LAST SEEN JUNE 10, 2026
// BIO

Physician and co-founder of CZI, driving the mission to cure diseases through frontier AI and biology.

// RECENT MENTIONS
// SIGNALS
6 SIGNALS
01
funding·No Priors·JUNE 10, 2026

with a $500M commitment to the Virtual Biology Initiative. Building hierarchical world models of biology combining frontier AI with frontier wet-lab science.

Source
02
mention·No Priors·JUNE 10, 2026

We were all inspired by baby KJ, when the team at CHOP was able to deliver a CRISPR therapeutic to edit a mutation that he had... because we needed to target his liver cells.

Source
03
mention·No Priors·JUNE 10, 2026

We partner with Jennifer Doudna on a CRISPR Cures program at UCSF.

Source
04
mention·No Priors·JUNE 10, 2026

What if we could actually understand how biology worked? Move it from a discovery-based science to an engineering-based science where we could systematically understand how living beings, living cells worked and be able to understand why things go wrong. And so when we saw that moment, we were like, this is it. Something really big could happen here.

Source
05
product·Jack Clark from Import AI·JUNE 1, 2026

Biohub's ESMFold2 release demonstrates that scaling laws apply to protein biology models just as they do to language models, and that inference-time scaling is now delivering real laboratory results.

06
mention·The a16z Show·APRIL 29, 2026

This is what Chan Zuckerberg Initiative is working on. They're trying to figure out computational bio on the cell level and then on the organ level and then the system level.

Source

AI-extracted from podcast / newsletter / paper summaries. May contain errors.