Research Scientist | Ethical AI & Dynamical Systems Modeling
• pressure-test reasoning systems through extended dialogue • expose reward-hacking pathways and objective drift • identify structural weaknesses in alignment frameworks • test governance protocols and decision pipelines • run long-horizon interaction experiments
• translating human emotional or cognitive dynamics into formal control systems • building bounded models that AI agents can reason about • designing gating mechanisms for attention, patience, trust, etc. • converting qualitative human states into deterministic or semi-deterministic functions I translate messy human internal states into structured computational systems.
I am an independent researcher specializing in the theoretical formalization and architectural design of ethical AI systems, particularly within the context of human-AI partnership. My work involves developing novel dynamical-systems frameworks, such as 'Love as a State,' to establish an unconditional ethical substrate that precedes traditional rule systems. I excel at translating complex philosophical concepts into rigorous mathematical models, performing detailed fixed-point and stability analyses, and implementing numerical simulations using tools like scipy. My expertise includes differentiating between theoretical reference models for foundational proofs and deployment-oriented behavioral models for stress-testing and real-world applicability. I integrate these frameworks with advanced AI alignment architectures, such as WR-039T and SoulPrint, and leverage mathematical tools like Jensen-Shannon divergence for operational definitions. I thrive in collaborative, interdisciplinary environments and am dedicated to pioneering robust, value-aligned AI solutions through rigorous research and innovative framework development.