Speaker

Jeff Coller

Jeff Coller

RNA biologist and Bloomberg Distinguished Professor of RNA Biology and Therapeutics at Johns Hopkins University, working at the join between basic RNA science and the medicines it makes possible — mRNA vaccines, RNA-based therapeutics, and in-body gene correction.

Coller’s laboratory studies a deceptively simple question with large clinical consequences: how fast the ribosome reads an mRNA, set by the supply of matching transfer RNAs, and how that reading speed governs how long the message survives before the cell destroys it. Message stability is central to how well a designed mRNA works as a drug, which places his basic research directly upstream of the therapeutic platform. He is a prominent public explainer of why mRNA medicines were developed so quickly and why they matter, and an advocate for protecting the technology against both political demonisation and its erosion as a strategic biodefence asset.

Core positions

Coller frames mRNA as a disposable recipe card — a natural product the body clears within hours, designable in silico and manufacturable in a test tube — which is why it can be produced faster and more cheaply than protein vaccines grown in eggs or bioreactors. He stresses that the COVID vaccines were fast not because the science was new but because the platform had two decades of in-human testing behind it. On the frontier, he sees mRNA joined to CRISPR base editing as a route to correcting a patient’s DNA inside their own body, transiently and without the off-target risk of a persistent editor — the approach used to treat baby KJ Muldoon’s rare CPS1 deficiency.

His recurring argument is that the binding constraint is delivery, not design: sequencing and editing are largely solved, but lipid nanoparticles reliably reach only the injection site and the liver, leaving the brain, lung, and other organs as open problems. He argues the personalised, n-of-1 economics of bespoke therapy do not fit an FDA built for blockbuster drugs, and that mRNA vaccines are a unique ‘deterrence by denial’ countermeasure against AI-designed pathogens — a technology to protect, not abandon.

In the wiki