Focus Period Lund 2026
Research Scientist
FAIR (Fundamental AI Research), part of Meta Superintelligence labs (USA)
Aaron Defazio is a Research Scientist at the FAIR (Fundamental AI Research), part of Meta Superintelligence labs, where he researches new theoretically driven approaches to AI training, with the ultimate goal of developing automatic, reliable and fast optimization methods. He has previously worked on deep learning based methods for MRI imaging (fastMRI project) and automated theorem proving. His Schedule-Free Learning method won the AlgoPerf Self-Tuning Track Challenge in 2024, and in 2023 his work on the D-Adaptation method was awarded an ICML best paper award. He obtained his PhD in Computer Science from Australian National University in 2014.