Daniel Filan
Bio
Daniel Filan is a member of technical staff at METR (Model Evaluation & Threat Research), where he works on assessing loss-of-control risk from frontier AI development. He completed his PhD in AI/EECS at UC Berkeley in 2024, supervised by Stuart Russell, with a thesis titled "Structure and Representation in Neural Networks"; prior to that he completed an honours year at the Australian National University supervised by Marcus Hutter, studying reinforcement learning theory, mathematics, and theoretical physics. From mid-2024 to late 2025 he was a senior research manager at MATS, helping train the next generation of AI alignment and interpretability researchers. He is the creator and host of AXRP (the AI X-risk Research Podcast, pronounced "axe-urp"), launched in December 2020, which features long-form interviews with researchers about their work on reducing catastrophic and existential risks from AI. He also hosts a sister podcast, The Filan Cabinet, covering a broader range of topics.
Links
- Personal Website
- https://danielfilan.com/
- Twitter / X
- LessWrong
- DanielFilan
Grants
from Long-Term Future Fund
from Long-Term Future Fund
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Details
- Last Updated
- Mar 22, 2026, 3:22 PM UTC
- Created
- Mar 20, 2026, 2:49 AM UTC