Jack Gallifant
I believe AI can expand what medicine understands and what healthcare can deliver. That means advancing the science of care and removing the work that gets in its way.
I am an applied research lead at R37, R1’s AI lab.
My team and I build training and evaluation environments for long-horizon healthcare tasks, from clinical coding and insurance appeals to computer use and voice workflows.
We use these environments to post-train models. Our agents run in production at R1.
Previously, I was an AI researcher at MIT and Harvard Medical School. Before that, I worked as a physician in the NHS in London, UK.
My work has appeared in Nature Medicine, Nature Cancer and at NeurIPS. It has been covered by The New York Times and STAT.
I’ve spoken at TEDxBoston, lectured at Harvard and MIT, and mentored teams at health AI datathons in 10 countries.
Papers and writing
- Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. Findings of EMNLP.
Get in touch
If you’re advancing what AI can do for medicine—or putting it to work to improve care—I’d be glad to hear from you.