Bridging Theoretical Physics, Computational Neuroscience, and High-Resolution Behavioral Profiling.
Deconstructing traditional psychological frameworks, mysticism, and dogmas into pragmatic, mathematically grounded information engineering. Focused on state-space modeling of human cognition, non-verbal leakage signal decoding, and ethical systems architecture.
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Computational Cognitive Science & NLP:
Formalizing internal representation loops (TOTE architectures, double-bind dynamics, and predictive Bayesian priors). -
Bio-Signal & Micro-Expression Profiling:
Overcoming the Othello Error through active orthogonal probing, likelihood-ratio updates, and FACS-level state-space estimation. -
Cybernetics & Feedback Topologies:
Formulating relational dynamics and communicative breakdown as coupled feedback networks and non-linear limit cycles. -
Minimalist Kernel Optimization:
Engineering the shift to baseline zero-states ($\mathcal{S}(\mathrm{ZERO})$) via radical impedance matching and cognitive noise elimination.
- scientific-nlp
Automated CI/CD compilation pipeline for advanced cognitive engineering and behavioral profiling treatises.
Formulates a deterministic and Bayesian framework over deceptive heuristics, replacing intuitive profiling with falsifiable mathematical models.
- Modeling & Computation: Bayesian Inference, State Estimation, Dynamical Systems
- Signal Analysis: FACS (Facial Action Coding System), Autonomic Reflex Decomposition
- Tooling & Engineering: LaTeX / LuaLaTeX, Git / GitHub Actions CI, Python, Systems Architecture
$ sudo engage-kernel
[sudo] password for observer:
#1) Respect the privacy of others.
#2) Think before you type.
#3) With great power comes great responsibility.