Research Scientist | Ethical AI & Dynamical Systems Modeling
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β’ pressure-test reasoning systems through extended dialogue β’ expose reward-hacking pathways and objective drift β’ identify structural weaknesses in alignment frameworks β’ test governance protocols and decision pipelines β’ run long-horizon interaction experiments
β’ translating human emotional or cognitive dynamics into formal control systems β’ building bounded models that AI agents can reason about β’ designing gating mechanisms for attention, patience, trust, etc. β’ 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.