Blank Bio
RNA-based AI for better drugs and smarter clinical trials.
San Francisco
3 employees
Healthcare
Pre-seed
About Blank Bio
RNA-based AI for better drugs and smarter clinical trials.
RNA-based AI for better drugs and smarter clinical trials.
RNA-based AI for better drugs and smarter clinical trials.
Last stage
Pre-seed
Investors
Ian Shi
Building foundational models for RNA therapeutics at Blank Bio. Just defended my PhD in CS at the University of Toronto. Published at ICML, NeurIPS, Nature Comms; used 4 GPUs to pre-train an mRNA foundation model that beat competitors using months of compute on thousands of H100s. Now scaling our models to unlock new possibilities in the RNA therapeutic space. Previously at Amazon building software, interned at Pinterest and Amazon as a research scientist in between.
LinkedIn
Jonny Hsu
Working on foundation models for RNA therapeutics. I was an early employee at Valence Discovery, a biotech startup that spun out from Mila. I led product and strategy. Valence was acquired by Recursion (NASDAQ: RXRX) in May 2023. I stayed on afterwards to help build out the AI research engine of Recursion called Valence Labs. Biochemist by training | Waterloo graduate
LinkedInIan Shi
Building foundational models for RNA therapeutics at Blank Bio. Just defended my PhD in CS at the University of Toronto. Published at ICML, NeurIPS, Nature Comms; used 4 GPUs to pre-train an mRNA foundation model that beat competitors using months of compute on thousands of H100s. Now scaling our models to unlock new possibilities in the RNA therapeutic space. Previously at Amazon building software, interned at Pinterest and Amazon as a research scientist in between.
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
Ruian (Ian) Shi
10 years of experience in computational biology. Previously a researcher at Memorial Sloan Kettering Cancer Centre and engineer at Amazon. PhD in computer science from the University of Toronto. Published at ICML, NeurIPS, and Nature Communications.
Philip Fradkin
Building AI for the most designable molecule in the world: RNA Published at top ML & Bio conferences including best paper at Foundation models for science @ Neurips. Built self-supervised learning applications for RNA, small molecules, and phenomics. Playing long term games in ML for Biology. One of the first employees at Deep Genomics. PhD from University of Toronto.
LinkedInIf they’re a yes, I book the chat. You show up — that’s the whole job-hunt.