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Blank Bio

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RNA intelligence for precision medicine

Summer 2025Founded 20256 peopleSan Francisco, CA, USA
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This company has previously operated under β€œOrthrus Bio”. A rename frequently marks a pivot in positioning or product β€” useful raw material for variant ideas.

About

Blank Bio is an applied AI research lab focused on increasing the success rates of clinical trials. We do this by training RNA foundation models that learn the patterns that shape disease progression and patient response to treatment. We aim to help pharma make more informed decisions in clinical trials by capturing the biology that makes each patient’s tumour unique. We’re a technical team of AI scientists and engineers from companies including Recursion, Deep Genomics, DeepMind, and Amazon, and institutions including Memorial Sloan Kettering Cancer Centre, Stanford, and the Vector Institute.

Founders Β· 3

Jonny Hsu
Jonny HsuFounder
Waterloo

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

Philip Fradkin
Philip FradkinFounder
UTorontoπŸŽ“ University of Toronto

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.

Ian Shi
Ian ShiFounder
AmazonUTorontoπŸŽ“ University of TorontoπŸŽ“ University of Toronto. Published

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.

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