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Hannah Herzig

@hcherzig

Biosecurity & clinical development @PopVaxIndia | views are my own

popvax.com
Joined May 2026
349 Following 117 Followers 61 Posts

Latest posts 5

Hannah Herzig @hcherzig
Another sign that safeguards for biological AI tools are necessary, but not sufficient on their own. We also need robust, rapid response capabilities in case the safeguards fail.
Bad day for securing Bio AI with managed access or pretraining data filters. @AISecurityInst found:

1. Agents can reproduce bio-AI tools on 1 GPU for <$20 with just abstracts and public data
2. Fine-tuning can restore full capability to ESM-2 trained w/o viral proteins for <$80
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Hannah Herzig @hcherzig
4 weeks is also the speed we should strive for to respond to new outbreaks, especially as AI lowers barriers to engineering viruses. This is why @sohamsankaran & I are working on @PopVaxIndia's Immune Engine to make rapid therapeutics a reality.

More here
chronicles.popvax.com/p/apocalypse-l…
Fyodor Urnov @UrnovFyodor Oct 22
Seven hundred and fifty eight subjects received a personalized mRNA, not one of which was described in an IND. Each made in 4 weeks from tumor biopsy.
The process is the product.
Hello personal CRISPR cures.
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Hannah Herzig @hcherzig
"We’re entering an era in which a machine can design a pathogen faster than we can create the countermeasure to fight it."
Good piece by Jeff Coller in @nytimes about why we need a capability to rapidly develop safe medicines against emerging pathogens.
nytimes.com/2026/10/12/opi…
www.nytimes.com Opinion | We Aren’t Ready for the New Age of Biological Threats This is a hair-on-fire moment for the biosecurity community.
Hannah Herzig @hcherzig
@PopVaxIndia is now a clinical-stage company! What a privilege to be part of this great team.
Soham Sankaran Verified account @sohamsankaran Oct 10
On August 31, the first two participants were injected with @PopVaxIndia’s first fridge-stable RNA vaccine candidate in a Phase I clinical trial in Australia. We built this vaccine at our RNA Foundry in Hyderabad – from computational design to GMP manufacturing. Here's how:
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