Inoculation against model poisoning — SAIGE
A research fellowship with Safe AI Germany, where I test data-level antidote datasets against emergent misalignment on small open-weight models.
Projects
Projects
This is where the research, the teaching, and the building actually happen.
Inverse scaling & incoherence
A mechanistic study of why more test-time reasoning sometimes makes models worse. I'm doing intra-trace causal analysis with steering-vector interventions, and writing up what I find as I go.
Multi-agent alignment (HCII 2026)
A peer-reviewed study showing that single- and multi-agent LLM systems behave measurably differently on alignment. I read it as early evidence for compositional misalignment.
Paper knowledge base
A large, interlinked set of paper notes and research logs across AI safety, interpretability, and ML. It's the reading and thinking space behind the writing here.
BlueDot Impact — facilitation
Facilitating technical AI safety cohorts, helping mid-career engineers cross from AI literacy into real contribution. It's the pipeline gap I went through myself.
An autonomous agent system
I build and run a self-improving personal AI agent with persistent memory and standing skills. It's hands-on practice with the exact kind of agentic system whose safety I study.