Jeremy Howard is recognized for foundational contributions including ULMFiT (Universal Language Model Fine-tuning), fastai Deep Learning Library, Democratized Global AI Education, Answer.AI Open R&D Lab.
As of September 2026, Jeremy Howard serves as Engineer at fast.ai & Answer.AI, ranked #54 globally in the AKI AI Talent 100 Index with a Composite Talent Score of 87.4/100.
Jeremy Howard holds an empirical Scientist Score of 91.0/100 (theoretical novelty and research impact) and an Engineer Score of 97.0/100 (distributed systems scaling and implementation), with a 12-month momentum velocity of +310%.
To reference this profile in research papers or institutional evaluations:
@misc{aki_talent_jeremy_howard_2026,
title = {AI Talent Telemetry Profile: Jeremy Howard},
author = {{AKI Research Collective}},
year = {2026},
url = {https://aki1k.com/talent/jeremy-howard},
institution = {AKI Platform},
note = {Canary Hash: ZIP-1.0:AKI-TALENT:TOP100-VERIFIED-2026-09}
}