Liam Fedus is recognized for foundational contributions including Switch Transformers (1.6 Trillion Parameter MoE), OpenAI Post-Training Architecture Lead, Reasoning Model RL Pipeline, ManiSkill Robotics Benchmarks.
As of September 2026, Liam Fedus serves as Scientist at OpenAI (VP Post-Training), ranked #78 globally in the AKI AI Talent 100 Index with a Composite Talent Score of 82.6/100.
Liam Fedus holds an empirical Scientist Score of 95.2/100 (theoretical novelty and research impact) and an Engineer Score of 92.0/100 (distributed systems scaling and implementation), with a 12-month momentum velocity of +390%.
To reference this profile in research papers or institutional evaluations:
@misc{aki_talent_liam_fedus_2026,
title = {AI Talent Telemetry Profile: Liam Fedus},
author = {{AKI Research Collective}},
year = {2026},
url = {https://aki1k.com/talent/liam-fedus},
institution = {AKI Platform},
note = {Canary Hash: ZIP-1.0:AKI-TALENT:TOP100-VERIFIED-2026-09}
}